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Prof. Vicenç Puig
Insitut de Robòtica i Informàtica Industrial (IRI), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain

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Research Keywords & Expertise

0 water management
0 Real-time control of urban water networks (drinking water networks and urban water networks)
0 Leak detection and localization
0 Quality monitoring
0 Sensor data validation and reconstruction

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Real-time control of urban water networks (drinking water networks and urban water networks)
Leak detection and localization
water management
Quality monitoring
Sensor data validation and reconstruction

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Journal article
Published: 27 July 2021 in Control Engineering Practice
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In urban drainage systems (UDS), a proven method for reducing the combined sewer overflow (CSO) pollution is real-time control (RTC) based on model predictive control (MPC). MPC methodologies for RTC of UDSs in the literature rely on the computation of the optimal control strategies based on deterministic rain forecast. However, in reality, uncertainties exist in rainfall forecasts which affect severely accuracy of computing the optimal control strategies. Under this context, this work aims to focus on the uncertainty associated with the rainfall forecasting and its effects. One option is to use stochastic information about the rain events in the controller; in the case of using MPC methods, the class called stochastic MPC is available, including several approaches such as the chance-constrained MPC(CC-MPC) method. In this study, we apply CC-MPC to the UDS. Moreover, we also compare the operational behavior of both the classical MPC with perfect forecast and the CC-MPC based on different stochastic scenarios of the rain forecast. The application and comparison have been based on simulations using a SWMM model of the Astlingen urban drainage benchmark network. From the simulations, it was found that CSO volumes were larger when CC-MPC had overestimating forecast biases, while for MPC they increased with any presence of forecast biases.

ACS Style

Jan Lorenz Svensen; Congcong Sun; Gabriela Cembrano; Vicenç Puig. Chance-constrained stochastic MPC of Astlingen urban drainage benchmark network. Control Engineering Practice 2021, 115, 104900 .

AMA Style

Jan Lorenz Svensen, Congcong Sun, Gabriela Cembrano, Vicenç Puig. Chance-constrained stochastic MPC of Astlingen urban drainage benchmark network. Control Engineering Practice. 2021; 115 ():104900.

Chicago/Turabian Style

Jan Lorenz Svensen; Congcong Sun; Gabriela Cembrano; Vicenç Puig. 2021. "Chance-constrained stochastic MPC of Astlingen urban drainage benchmark network." Control Engineering Practice 115, no. : 104900.

Journal article
Published: 19 July 2021 in Control Engineering Practice
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This paper proposes a new approach for the leak diagnosis problem in pipelines based on the use of a Kalman filter for Linear Parameter Varying (LPV) systems. Such a filter considers the availability of flow and pressure measurements at each end of the pipeline. The proposed methodology relies on an LPV model derived from the nonlinear description of the pipeline. For the Kalman filter design purposes, the LPV model is transformed into a polytopic representation. Then, using such a representation, the LPV Kalman filter is designed by solving a set of Linear Matrix Inequalities (LMIs) offline. In the online implementation, the observer gain is calculated as an interpolation of those gains previously computed at the vertices of the polytopic model. The main advantages of this approach are: a) the embedding of the nonlinearities in the varying parameters allows the quasi-LPV system to be obtained which is equivalent to the original nonlinear one, and; b) the use of the well-known LMIs to compute the Kalman gain allows the extension to the LPV case. Those aspects are the main advantages with respect to the classic design of the Extended Kalman Filter (EKF) that requires a linearization procedure and the solution of the Ricatti equation at each iteration. To illustrate the potential of this method, a test bed plant built at Cinvestav-Guadalajara is used. Additionally, the results presented are compared with those results obtained through the classical EKF showing that LPV Kalman observer outperforms the classical EKF.

ACS Style

J.A. Delgado-Aguiñaga; V. Puig; F.I. Becerra-López. Leak diagnosis in pipelines based on a Kalman filter for Linear Parameter Varying systems. Control Engineering Practice 2021, 115, 104888 .

AMA Style

J.A. Delgado-Aguiñaga, V. Puig, F.I. Becerra-López. Leak diagnosis in pipelines based on a Kalman filter for Linear Parameter Varying systems. Control Engineering Practice. 2021; 115 ():104888.

Chicago/Turabian Style

J.A. Delgado-Aguiñaga; V. Puig; F.I. Becerra-López. 2021. "Leak diagnosis in pipelines based on a Kalman filter for Linear Parameter Varying systems." Control Engineering Practice 115, no. : 104888.

Special issue article
Published: 16 March 2021 in International Journal of Robust and Nonlinear Control
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This article proposes an economic model predictive control (EMPC) approach for linear parameter varying (LPV) systems. An efficient implementation of the associated MPC optimization problem is introduced based on transforming the LPV model into a linear time‐varying one by using an estimation of the scheduling variables along the prediction horizon. This estimation is based on the optimal states/inputs determined from the solution of the previous optimization problem while running the receding horizon strategy. Using this approach, the solution of the proposed LPV‐based EMPC scheme would be possible by solving a series of quadratic programming problems at each time instant. This approach allows reducing the computational burden compared with the solution of a nonlinear optimization problem that would result naturally from the LPV‐based formulation. The stability of the proposed approach is guaranteed by forcing the terminal state to converge towards the optimal equilibrium/working point of the system. Moreover, the terminal constraint is relaxed by using a constraint set around the terminal state instead of a constraint value and adding a penalty on the terminal state into the cost function. Besides, strict dissipativity is established as a sufficient condition to prove stability. Finally, the effectiveness of the LPV‐based EMPC strategy is shown by controlling a small‐scale pasteurization system in simulation. The comparison between the proposed control approach and standard MPC approaches is performed. Results show the advantages of the proposed LPV‐based EMPC controller in terms of economic cost minimization.

ACS Style

Fatemeh Karimi‐Pour; Vicenç Puig; Carlos Ocampo‐Martinez. Economic model predictive control of nonlinear systems using a linear parameter varying approach. International Journal of Robust and Nonlinear Control 2021, 1 .

AMA Style

Fatemeh Karimi‐Pour, Vicenç Puig, Carlos Ocampo‐Martinez. Economic model predictive control of nonlinear systems using a linear parameter varying approach. International Journal of Robust and Nonlinear Control. 2021; ():1.

Chicago/Turabian Style

Fatemeh Karimi‐Pour; Vicenç Puig; Carlos Ocampo‐Martinez. 2021. "Economic model predictive control of nonlinear systems using a linear parameter varying approach." International Journal of Robust and Nonlinear Control , no. : 1.

Journal article
Published: 08 March 2021 in Processes
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The development of efficient methods for process performance verification has drawn a lot of attention in the research community. Viability theory is a mathematical tool to identify the trajectories of a dynamical system which remains in a constraint set. In this paper, viability theory is investigated for this purpose in the case of nonlinear processes that can be represented in Linear Parameter Varying (LPV) form. In particular, verification algorithms based on the use of invariance and viability kernels and capture basin are proposed. The difficulty with the application of this theory is the computation of these sets. A Lagrangian method has been used to approximate these sets. Because of simplicity and efficient computations, zonotopes are adopted for set representation. Two new sets called Safe Work Area (SWA) and Required Performance (RP) are defined and an algorithm is proposed to use these concepts for the verification purpose. Finally, two application examples based on well-known case studies, a two-tank system and PH neutralization plant, are provided to show the effectiveness of the proposed method.

ACS Style

Majid Zarch; Vicenç Puig; Javad Poshtan; Mahdi Shoorehdeli. Process Performance Verification Using Viability Theory. Processes 2021, 9, 482 .

AMA Style

Majid Zarch, Vicenç Puig, Javad Poshtan, Mahdi Shoorehdeli. Process Performance Verification Using Viability Theory. Processes. 2021; 9 (3):482.

Chicago/Turabian Style

Majid Zarch; Vicenç Puig; Javad Poshtan; Mahdi Shoorehdeli. 2021. "Process Performance Verification Using Viability Theory." Processes 9, no. 3: 482.

Journal article
Published: 10 February 2021 in Control Engineering Practice
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To implement an Industry 4.0 Framework in an ongoing industrial manufacturing process to prepare it for complex Artificial Intelligence use cases is not an easy task. The automotive industry is undergoing a large transformation due to a variety of disruptive factors through the introduction of CASE (Connected, Autonomous, Shared, Electrified) technologies. Production improvements will enable future development of CASE capabilities. This paper presents an Industry 4.0 framework, named BiDrac, that integrates computing, communication and control under an Industrial Cyber–Physical​ System (ICPS) ecosystem. It combines Artificial Intelligence and Industrial Internet of Things (IIoT) inside the Industry 4.0 paradigm for the Predictive Maintenance of an Automotive Paint Shop Process inside an Industrial Cloud (IC) as an open platform that provides community of cloud-based solutions to enable the development of new digital solutions. Several real use cases of the proposed platform have been included in the results section to illustrate the potential of the proposed framework.

ACS Style

Elma Sanz; Joaquim Blesa; Vicenç Puig. BiDrac Industry 4.0 framework: Application to an Automotive Paint Shop Process. Control Engineering Practice 2021, 109, 104757 .

AMA Style

Elma Sanz, Joaquim Blesa, Vicenç Puig. BiDrac Industry 4.0 framework: Application to an Automotive Paint Shop Process. Control Engineering Practice. 2021; 109 ():104757.

Chicago/Turabian Style

Elma Sanz; Joaquim Blesa; Vicenç Puig. 2021. "BiDrac Industry 4.0 framework: Application to an Automotive Paint Shop Process." Control Engineering Practice 109, no. : 104757.

Journal article
Published: 09 February 2021 in Journal of Fluids Engineering
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This work addresses the estimation of two interrelated parameters of the fluid flow in pipes. First, a numerical and experimental evaluation of some proposed methods to compute the friction factor in turbulent regime is presented. Special attention is given to an explicit solution obtained through the Lambert W-function. Subsequently, a method to estimate the roughness coefficient using nonlinear optimization techniques is proposed, which then allows determining the friction factor from it. Numerical tests were performed for a wide range of operating points of a pipeline. In order to validate the proposed approach, experimental analysis was carried out on a pipeline pilot-plant. The results show the applicability and effectiveness of the proposed method.

ACS Style

Ildeberto Santos-Ruiz; Francisco-Ronay López-Estrada; Vicenç Puig; Flor Lizeth Torres; Guillermo Valencia-Palomo; Samuel Gómez-Peñate. Optimal Estimation of the Roughness Coefficient and Friction Factor of a Pipeline. Journal of Fluids Engineering 2021, 143, 1 .

AMA Style

Ildeberto Santos-Ruiz, Francisco-Ronay López-Estrada, Vicenç Puig, Flor Lizeth Torres, Guillermo Valencia-Palomo, Samuel Gómez-Peñate. Optimal Estimation of the Roughness Coefficient and Friction Factor of a Pipeline. Journal of Fluids Engineering. 2021; 143 (5):1.

Chicago/Turabian Style

Ildeberto Santos-Ruiz; Francisco-Ronay López-Estrada; Vicenç Puig; Flor Lizeth Torres; Guillermo Valencia-Palomo; Samuel Gómez-Peñate. 2021. "Optimal Estimation of the Roughness Coefficient and Friction Factor of a Pipeline." Journal of Fluids Engineering 143, no. 5: 1.

Short communication
Published: 11 January 2021 in Automatica
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This paper describes a novel passivity/dissipativity based approach for fault tolerant control (FTC) of nonlinear systems by means of fault hiding, i.e., by inserting reconfiguration blocks (RBs) between the plant and controller to mitigate the fault effects. The proposed approach is used to design a new kind of RB, called passivation block (PB), which is generically employed for sensor and actuator faults and achieves simultaneously series, feedback and feedfoward passivation of the controller during a fault occurrence. Based on the dissipativity theory, new conditions are obtained to design a dynamic PB (DPB) which requires minimum information on the system model. In particular, the proposed DPB can be systematically obtained by combining the LMI-based conditions based on the knowledge about the passivity indices. Numerical simulations are carried out and indicate that the PBs are able to stabilize an example of a faulty nonlinear system.

ACS Style

Iury Bessa; Vicenç Puig; Reinaldo Martínez Palhares. Passivation blocks for fault tolerant control of nonlinear systems. Automatica 2021, 125, 109450 .

AMA Style

Iury Bessa, Vicenç Puig, Reinaldo Martínez Palhares. Passivation blocks for fault tolerant control of nonlinear systems. Automatica. 2021; 125 ():109450.

Chicago/Turabian Style

Iury Bessa; Vicenç Puig; Reinaldo Martínez Palhares. 2021. "Passivation blocks for fault tolerant control of nonlinear systems." Automatica 125, no. : 109450.

Special issue
Published: 04 November 2020 in Asian Journal of Control
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In this paper, a model reference control strategy is proposed in order to perform trajectory tracking in Takagi–Sugeno–Lipschitz (TSL) systems. Since the state vector is assumed not to be completely available for measurement, a proportional observer is added to the control scheme in order to apply an estimate‐feedback control action instead of a state‐feedback one. The overall design of both the controller and the observer gains are performed using a Lyapunov‐based quadratic boundedness specification, in order to improve the robustness against unknown exogenous disturbances. It is shown that the conditions that ensure convergence within ellipsoidal regions of the tracking and estimation errors can be expressed in the form of a linear matrix inequality (LMI) formulation. The effectiveness of the developed control strategy is demonstrated by means of simulation results.

ACS Style

Ruicong Yang; Damiano Rotondo; Vicenç Puig. Observer‐based model reference control of Takagi–Sugeno–Lipschitz systems affected by disturbances using quadratic boundedness. Asian Journal of Control 2020, 23, 42 -56.

AMA Style

Ruicong Yang, Damiano Rotondo, Vicenç Puig. Observer‐based model reference control of Takagi–Sugeno–Lipschitz systems affected by disturbances using quadratic boundedness. Asian Journal of Control. 2020; 23 (1):42-56.

Chicago/Turabian Style

Ruicong Yang; Damiano Rotondo; Vicenç Puig. 2020. "Observer‐based model reference control of Takagi–Sugeno–Lipschitz systems affected by disturbances using quadratic boundedness." Asian Journal of Control 23, no. 1: 42-56.

Journal article
Published: 07 September 2020 in Journal of Process Control
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Fault detection and isolation in water distribution networks is an active topic due to the nonlinearities of flow propagation and recent increases in data availability due to sensor deployment. Here, we propose an efficient two-step data driven alternative: first, we perform sensor placement taking the network topology into account; second, we use incoming sensor data to build a network model through online dictionary learning. Online learning is fast and allows tackling large networks as it processes small batches of signals at a time. This brings the benefit of continuous integration of new data into the existing network model, either in the beginning for training or in production when new data samples are gathered. The proposed algorithms show good performance in our simulations on both small and large-scale networks.

ACS Style

Paul Irofti; Florin Stoican; Vicenç Puig. Fault handling in large water networks with online dictionary learning. Journal of Process Control 2020, 94, 46 -57.

AMA Style

Paul Irofti, Florin Stoican, Vicenç Puig. Fault handling in large water networks with online dictionary learning. Journal of Process Control. 2020; 94 ():46-57.

Chicago/Turabian Style

Paul Irofti; Florin Stoican; Vicenç Puig. 2020. "Fault handling in large water networks with online dictionary learning." Journal of Process Control 94, no. : 46-57.

Journal article
Published: 01 September 2020 in Mathematical and Computational Applications
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This paper presents a proposal to estimate simultaneously, through nonlinear optimization, the roughness and head loss coefficients in a non-straight pipeline. With the proposed technique, the calculation of friction is optimized by minimizing the fitting error in the Colebrook–White equation for an operating interval of the pipeline from the flow and pressure measurements at the pipe ends. The proposed method has been implemented in MATLAB and validated in a serpentine-shaped experimental pipeline by contrasting the theoretical friction for the estimated coefficients obtained from the Darcy–Weisbach equation for a set of steady-state measurements.

ACS Style

Ildeberto Santos-Ruiz; Francisco-Ronay López-Estrada; Vicenç Puig; Guillermo Valencia-Palomo. Simultaneous Optimal Estimation of Roughness and Minor Loss Coefficients in a Pipeline. Mathematical and Computational Applications 2020, 25, 56 .

AMA Style

Ildeberto Santos-Ruiz, Francisco-Ronay López-Estrada, Vicenç Puig, Guillermo Valencia-Palomo. Simultaneous Optimal Estimation of Roughness and Minor Loss Coefficients in a Pipeline. Mathematical and Computational Applications. 2020; 25 (3):56.

Chicago/Turabian Style

Ildeberto Santos-Ruiz; Francisco-Ronay López-Estrada; Vicenç Puig; Guillermo Valencia-Palomo. 2020. "Simultaneous Optimal Estimation of Roughness and Minor Loss Coefficients in a Pipeline." Mathematical and Computational Applications 25, no. 3: 56.

Journal article
Published: 19 August 2020 in IEEE Transactions on Circuits and Systems I: Regular Papers
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This article proposes a fault-tolerant control (FTC) strategy based on virtual actuator and sensor for discrete-time descriptor systems subject to actuator and sensor faults. The fault-tolerant closed-loop system, which includes the nominal controller and observer, as well as the virtual actuator and the virtual sensor, hides the effects of faults. When an observer-based state-feedback law is considered, the existence of algebraic loop may prevent the practical implementation due to the current algebraic states depending on the current control input, that affects also the implementation of the virtual actuator/sensor. To deal with this issue, an observer-based delayed feedback controller and a delayed virtual actuator are proposed for discrete-time descriptor systems. Furthermore, the satisfaction of the separation principle is shown, and an improved admissibility condition is developed for the design of the controller and virtual actuator/sensor. Finally, some simulation results including an electrical circuit are used to demonstrate the applicability of the proposed methods.

ACS Style

Ye Wang; Damiano Rotondo; Vicenc Puig; Gabriela Cembrano. Fault-Tolerant Control Based on Virtual Actuator and Sensor for Discrete-Time Descriptor Systems. IEEE Transactions on Circuits and Systems I: Regular Papers 2020, 67, 5316 -5325.

AMA Style

Ye Wang, Damiano Rotondo, Vicenc Puig, Gabriela Cembrano. Fault-Tolerant Control Based on Virtual Actuator and Sensor for Discrete-Time Descriptor Systems. IEEE Transactions on Circuits and Systems I: Regular Papers. 2020; 67 (12):5316-5325.

Chicago/Turabian Style

Ye Wang; Damiano Rotondo; Vicenc Puig; Gabriela Cembrano. 2020. "Fault-Tolerant Control Based on Virtual Actuator and Sensor for Discrete-Time Descriptor Systems." IEEE Transactions on Circuits and Systems I: Regular Papers 67, no. 12: 5316-5325.

Research article
Published: 15 July 2020 in International Journal of Robust and Nonlinear Control
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Active fault detection facilitates determination of the fault characteristics by injecting proper auxiliary input signals into the system. This article proposes an observer‐based on‐line active fault detection method for discrete‐time systems with bounded uncertainties. First, the output including disturbances, measurement noise and interval uncertainties at each sample time is enclosed in a zonotope. In order to reduce the conservativeness in the fault detection process, a zonotopic observer is designed to estimate the system states allowing to generate the output zonotopes. Then, a proper auxiliary input signal is designed to separate the output zonotopes of the faulty model from the healthy model that is injected into the system to facilitate the detection of small fault . Since the auxiliary input signal generation leads to a nonconvex optimization problem, it is transformed into a mixed integer quadratic programming problem. Finally, a case study based on a DC motor is used to show the effectiveness of the proposed method.

ACS Style

Jing Wang; Yuru Shi; Meng Zhou; Ye Wang; Vicenç Puig. Active fault detection based on set‐membership approach for uncertain discrete‐time systems. International Journal of Robust and Nonlinear Control 2020, 30, 1 .

AMA Style

Jing Wang, Yuru Shi, Meng Zhou, Ye Wang, Vicenç Puig. Active fault detection based on set‐membership approach for uncertain discrete‐time systems. International Journal of Robust and Nonlinear Control. 2020; 30 (14):1.

Chicago/Turabian Style

Jing Wang; Yuru Shi; Meng Zhou; Ye Wang; Vicenç Puig. 2020. "Active fault detection based on set‐membership approach for uncertain discrete‐time systems." International Journal of Robust and Nonlinear Control 30, no. 14: 1.

Journal article
Published: 07 July 2020 in Microelectronics Reliability
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This paper proposes a system-level prognostic approach for power electronic systems with slow degradation profiles. Although a model-based approach has been adopted to deal with such multivariable dynamical systems with degradation properties, the forecasting of the Remaining Useful Life (RUL) is independent of prior knowledge of degradation profiles. Thus, this proposition is mainly based on the estimation of the degraded parameters. A robust and well-known technique, the Adaptive Joint Extended Kalman Filter (AJEKF), has been used in previous publications for degradation estimation. Consequently, a deep comprehension of the fault mechanisms of the critical electronic components such as Electrolytic Capacitors (ECaps) and power switching devices such as MOSFETs is needed to define their fault precursors and their degradation behaviors for analytical modeling. The developed forecasting methodology highlights the importance of the historical degradation data in the modeling and estimation stages. The main goal is to increase the reliability of the Prognostics and Health Management (PHM). Thus, this technique has been fully applied to a DC-DC converter used in electric vehicles to forecast its RUL on system-level from component-level basis and the simulation results are then presented.

ACS Style

Ahmad Al-Mohamad; Ghaleb Hoblos; Vicenç Puig. A hybrid system-level prognostics approach with online RUL forecasting for electronics-rich systems with unknown degradation behaviors. Microelectronics Reliability 2020, 111, 113676 .

AMA Style

Ahmad Al-Mohamad, Ghaleb Hoblos, Vicenç Puig. A hybrid system-level prognostics approach with online RUL forecasting for electronics-rich systems with unknown degradation behaviors. Microelectronics Reliability. 2020; 111 ():113676.

Chicago/Turabian Style

Ahmad Al-Mohamad; Ghaleb Hoblos; Vicenç Puig. 2020. "A hybrid system-level prognostics approach with online RUL forecasting for electronics-rich systems with unknown degradation behaviors." Microelectronics Reliability 111, no. : 113676.

Articles
Published: 05 June 2020 in International Journal of Control
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This paper proposes the design of an interval observer-based approach for linear dynamic systems affected by both time-invariant and time-varying uncertainties. First, different interval observer schemes are compared and analyzed when dealing with the different type of uncertainties. Then, an integrated interval observer is proposed in order to overcome the drawbacks of using the set-based approach, i.e., the non-preservation of the parameter uncertainty time dependency and the wrapping effect. Furthermore, H∞ performance is considered in order to compute the observer gain by using an LMI technique. Finally, a numerical example and a real case study based on a two-tank system are employed for both illustrating and analyzing the effectiveness of the proposed approach.

ACS Style

Masoud Pourasghar; Vicenç Puig; Carlos Ocampo-Martinez. On robust interval observer design for uncertain systems subject to both time-invariant and time-varying uncertainties. International Journal of Control 2020, 93, 2577 -2595.

AMA Style

Masoud Pourasghar, Vicenç Puig, Carlos Ocampo-Martinez. On robust interval observer design for uncertain systems subject to both time-invariant and time-varying uncertainties. International Journal of Control. 2020; 93 (11):2577-2595.

Chicago/Turabian Style

Masoud Pourasghar; Vicenç Puig; Carlos Ocampo-Martinez. 2020. "On robust interval observer design for uncertain systems subject to both time-invariant and time-varying uncertainties." International Journal of Control 93, no. 11: 2577-2595.

Journal article
Published: 21 April 2020 in ISA Transactions
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The accurate estimation of the State of Charge (SOC) and an acceptable prediction of the Remaining Useful Life (RUL) of batteries in autonomous vehicles are essential for safe and lifetime optimized operation. The estimation of the expected RUL is quite helpful to reduce maintenance cost, safety hazards, and operational downtime. This paper proposes an innovative health-aware control approach for autonomous racing vehicles to simultaneously control it to the driving limits and to follow the desired path based on maximization of the battery RUL. To deal with the non-linear behavior of the vehicle, a Linear Parameter Varying (LPV) model is developed. Based on this model, a robust controller is designed and synthesized by means of the Linear Matrix Inequality (LMI) approach, where the general objective is to maximize progress on the track subject to win racing and saving energy. The main contribution of the paper consists in preserving the lifetime of battery and optimizing a lap time to achieve the best path of a racing vehicle. The control design is divided into two layers with different time scale, path planner and controller. The first optimization problem is related to the path planner where the objective is to optimize the lap time and to maximize the battery RUL to obtain the best trajectory under the constraints of the circuit. The proposed approach is formulated as an optimal on-line robust LMI based Model Predictive Control (MPC) that steered from Lyapunov stability. The second part is focused on a controller gain synthesis solved by LPV based on Linear Quadratic Regulator (LPV-LQR) problem in LMI formulation with integral action for tracking the trajectory. The proposed approach is evaluated in simulation and results show the effectiveness of the proposed planner for optimizing the lap time and especially for maximizing the battery RUL.

ACS Style

Fatemeh Karimi Pour; Didier Theilliol; Vicenç Puig; Gabriela Cembrano. Health-aware control design based on remaining useful life estimation for autonomous racing vehicle. ISA Transactions 2020, 113, 196 -209.

AMA Style

Fatemeh Karimi Pour, Didier Theilliol, Vicenç Puig, Gabriela Cembrano. Health-aware control design based on remaining useful life estimation for autonomous racing vehicle. ISA Transactions. 2020; 113 ():196-209.

Chicago/Turabian Style

Fatemeh Karimi Pour; Didier Theilliol; Vicenç Puig; Gabriela Cembrano. 2020. "Health-aware control design based on remaining useful life estimation for autonomous racing vehicle." ISA Transactions 113, no. : 196-209.

Journal article
Published: 07 April 2020 in IEEE Transactions on Control Systems Technology
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This article presents a new data-driven method for leak localization in water-distribution networks (WDNs). The method uses the information provided by a set of pressure sensors installed in some internal network nodes in addition to flow and pressure measurements from inlet nodes. Pressure measurements are recorded under leak-free network operation, and a WDN data-driven model of the pressure at each sensed node is adjusted. The pressure estimation from this model is complemented by a Kriging spatial interpolation technique to estimate the pressure in the nodes that are not sensed, leading to a pressure reference map. Leak localization is based on the comparison of this reference pressure map with the current pressure map that is obtained by applying Kriging directly to the pressure measurements provided by sensors. The key element in this comparison is the use of the Dempster-Shafer theory for reasoning under uncertainty. The successful application of the proposed methodology to two real-data case studies is presented.

ACS Style

Adria Soldevila; Joaquim Blesa; Tom Norgaard Jensen; Sebastian Tornil-Sin; Rosa M. Fernandez-Canti; Vicenc Puig. Leak Localization Method for Water-Distribution Networks Using a Data-Driven Model and Dempster–Shafer Reasoning. IEEE Transactions on Control Systems Technology 2020, 29, 937 -948.

AMA Style

Adria Soldevila, Joaquim Blesa, Tom Norgaard Jensen, Sebastian Tornil-Sin, Rosa M. Fernandez-Canti, Vicenc Puig. Leak Localization Method for Water-Distribution Networks Using a Data-Driven Model and Dempster–Shafer Reasoning. IEEE Transactions on Control Systems Technology. 2020; 29 (3):937-948.

Chicago/Turabian Style

Adria Soldevila; Joaquim Blesa; Tom Norgaard Jensen; Sebastian Tornil-Sin; Rosa M. Fernandez-Canti; Vicenc Puig. 2020. "Leak Localization Method for Water-Distribution Networks Using a Data-Driven Model and Dempster–Shafer Reasoning." IEEE Transactions on Control Systems Technology 29, no. 3: 937-948.

Journal article
Published: 05 April 2020 in Water
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The advanced control of urban drainage systems (UDS) has great potential in reducing pollution to the receiving waters by optimizing the operations of UDS infrastructural elements. Existing controls vary in complexity, including local and global strategies, Real-Time Control (RTC) and Model Predictive Control (MPC). Their results are, however, site-specific, hindering a direct comparison of their performance. Therefore, the working group ‘Integral Real-Time Control’ of the German Water Association (DWA) developed the Astlingen benchmark network, which has been implemented in conceptual hydrological models and applied to compare RTC strategies. However, the level of detail of such implementations is insufficient for testing more complex MPC strategies. In order to provide a benchmark for MPC, this paper presents: (1) The implementation of the conceptual Astlingen system in an open-source hydrodynamic model (EPA-SWMM), and (2) the application of an MPC strategy to the developed SWMM model. The MPC strategy was tested against traditional and well-established local and global RTC approaches, demonstrating how the proposed benchmark system can be used to test and compare complex control strategies.

ACS Style

Congcong Sun; Jan Lorenz Svensen; Morten Borup; Vicenç Puig; Gabriela Cembrano; Luca Vezzaro. An MPC-Enabled SWMM Implementation of the Astlingen RTC Benchmarking Network. Water 2020, 12, 1034 .

AMA Style

Congcong Sun, Jan Lorenz Svensen, Morten Borup, Vicenç Puig, Gabriela Cembrano, Luca Vezzaro. An MPC-Enabled SWMM Implementation of the Astlingen RTC Benchmarking Network. Water. 2020; 12 (4):1034.

Chicago/Turabian Style

Congcong Sun; Jan Lorenz Svensen; Morten Borup; Vicenç Puig; Gabriela Cembrano; Luca Vezzaro. 2020. "An MPC-Enabled SWMM Implementation of the Astlingen RTC Benchmarking Network." Water 12, no. 4: 1034.

Journal article
Published: 29 February 2020 in Sensors
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Water Utilities (WU) are responsible for supplying water for residential, commercial and industrial use guaranteeing the sanitary and quality standards established by different regulations. To assure the satisfaction of such standards a set of quality sensors that monitor continuously the Water Distribution System (WDS) are used. Unfortunately, those sensors require continuous maintenance in order to guarantee their right and reliable operation. In order to program the maintenance of those sensors taking into account the health state of the sensor, a prognosis system should be deployed. Moreover, before proceeding with the prognosis of the sensors, the data provided with those sensors should be validated using data from other sensors and models. This paper provides an advanced data analytics framework that will allow us to diagnose water quality sensor faults and to detect water quality events. Moreover, a data-driven prognosis module will be able to assess the sensitivity degradation of the chlorine sensors estimating the remaining useful life (RUL), taking into account uncertainty quantification, that allows us to program the maintenance actions based on the state of health of sensors instead on a regular basis. The fault and event detection module is based on a methodology that combines time and spatial models obtained from historical data that are integrated with a discrete-event system and are able to distinguish between a quality event or a sensor fault. The prognosis module analyses the quality sensor time series forecasting the degradation and therefore providing a predictive maintenance plan avoiding unsafe situations in the WDS.

ACS Style

Diego Garcia; Vicenç Puig; Joseba Quevedo. Prognosis of Water Quality Sensors Using Advanced Data Analytics: Application to the Barcelona Drinking Water Network. Sensors 2020, 20, 1342 .

AMA Style

Diego Garcia, Vicenç Puig, Joseba Quevedo. Prognosis of Water Quality Sensors Using Advanced Data Analytics: Application to the Barcelona Drinking Water Network. Sensors. 2020; 20 (5):1342.

Chicago/Turabian Style

Diego Garcia; Vicenç Puig; Joseba Quevedo. 2020. "Prognosis of Water Quality Sensors Using Advanced Data Analytics: Application to the Barcelona Drinking Water Network." Sensors 20, no. 5: 1342.

Journal article
Published: 05 February 2020 in Energies
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Electrical smart grids are complex MIMO systems whose operation can be noticeably affected by the presence of uncertainties such as load demand uncertainty. In this paper, based on a restricted representation of the demand uncertainty, we propose a robust economic model predictive control method that guarantees an optimal energy dispatch in a smart micro-grid. Load demands are uncertain, but viewed as bounded. The proposed method first decomposes control inputs into dependent and independent components, and then tackles the effect of demand uncertainty by tightening the system constraints as the uncertainty propagates along the prediction horizon using interval arithmetic and local state feedback control law. The tightened constraints’ upper and lower limits are computed off-line. The proposed method guarantees stability through a periodic terminal state constraint. The method is faster and simpler compared to other approaches based on Closed-loop min–max techniques. The applicability of the proposed approach is demonstrated using a smart micro-grid that comprises a wind generator, some photovoltaic (PV) panels, a diesel generator, a hydroelectric generator and some storage devices linked via two DC-buses, from which load demands can be adequately satisfied.

ACS Style

Mohamadou Nassourou; Joaquim Blesa; Vicenç Puig. Robust Economic Model Predictive Control Based on a Zonotope and Local Feedback Controller for Energy Dispatch in Smart-Grids Considering Demand Uncertainty. Energies 2020, 13, 696 .

AMA Style

Mohamadou Nassourou, Joaquim Blesa, Vicenç Puig. Robust Economic Model Predictive Control Based on a Zonotope and Local Feedback Controller for Energy Dispatch in Smart-Grids Considering Demand Uncertainty. Energies. 2020; 13 (3):696.

Chicago/Turabian Style

Mohamadou Nassourou; Joaquim Blesa; Vicenç Puig. 2020. "Robust Economic Model Predictive Control Based on a Zonotope and Local Feedback Controller for Energy Dispatch in Smart-Grids Considering Demand Uncertainty." Energies 13, no. 3: 696.

Journal article
Published: 03 February 2020 in Water
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The urban water cycle (UWC), which is composed of the water supply system (WSS) and urban drainage system (UDS), is a critical infrastructure required for the functioning of urban society. Considering the growing pollution and subsequent water scarcity caused by increasing urbanization and climate change, efficient UWC management is required to maintain resource sustainability and environmental protection. Cyber-physical systems (CPSs) provide a technological suite for the efficient management of critical systems. To exploit advantages of CPS for UWC, this paper proposes a CPS-based management framework enabling supervision, subsystem interoperability, and integrated optimization of UWC: (1) Firstly, clear definitions are provided to demonstrate that UWC systems can be considered as CPSs. (2) A multi-layer CPS-based supervision framework is presented afterwards, conceptually dividing the physical UWC and its digital counterpart into Supervision&Control, Scheduling, Digital Twin, and Water Users and Environment four layers. (3) The information flows that interact with each layer, as well as a key aspect of CSP operation, namely the interoperability among subsystems in the context of UWC, are also addressed. (4) To demonstrate advantages of supervision and interoperability of subsystems under the CPS framework, an integrated optimizer based on model predictive control (MPC) is applied and compared against the individual control of each system. A real case study of the WSS and UDS in Barcelona UWC is applied in order to validate the proposed approaches through virtual reality simulations based on MATLAB/SIMULIN and EPA-SWMM.

ACS Style

Congcong Sun; Vicenç Puig; Gabriela Cembrano. Real-Time Control of Urban Water Cycle under Cyber-Physical Systems Framework. Water 2020, 12, 406 .

AMA Style

Congcong Sun, Vicenç Puig, Gabriela Cembrano. Real-Time Control of Urban Water Cycle under Cyber-Physical Systems Framework. Water. 2020; 12 (2):406.

Chicago/Turabian Style

Congcong Sun; Vicenç Puig; Gabriela Cembrano. 2020. "Real-Time Control of Urban Water Cycle under Cyber-Physical Systems Framework." Water 12, no. 2: 406.