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Mohammad-Taghi Hamidi-Beheshti
Faculty of School of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran

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Journal article
Published: 10 June 2021 in International Journal of Electrical Power & Energy Systems
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In inverter-based AC microgrids, active power sharing between Distributed Generation (DG) units is achieved by introducing a droop frequency control for the inverter. The purpose of the secondary controller is to regulate the frequency deviation caused by the primary controller while maintaining the droop characteristic of active power sharing among DG units. In this paper, Adaptive Neuro-Fuzzy Inference System (ANFIS) is employed to effectively control frequency and power sharing among DG units in a 100% renewable based microgrid while working in different areas of the operating points. Rules and configuration of ANFIS are introduced to handle the complexity of larger microgrids. The effectiveness of the proposed method is demonstrated in two case studies. The simulation results suggest that the proposed ANFIS controller, compared to the conventional controllers, is able to satisfy the power sharing among DG units while better regulating the frequency.

ACS Style

Hossein Karimi; Mohammad T.H. Beheshti; Amin Ramezani; Hamidreza Zareipour. Intelligent control of islanded AC microgrids based on adaptive neuro-fuzzy inference system. International Journal of Electrical Power & Energy Systems 2021, 133, 107161 .

AMA Style

Hossein Karimi, Mohammad T.H. Beheshti, Amin Ramezani, Hamidreza Zareipour. Intelligent control of islanded AC microgrids based on adaptive neuro-fuzzy inference system. International Journal of Electrical Power & Energy Systems. 2021; 133 ():107161.

Chicago/Turabian Style

Hossein Karimi; Mohammad T.H. Beheshti; Amin Ramezani; Hamidreza Zareipour. 2021. "Intelligent control of islanded AC microgrids based on adaptive neuro-fuzzy inference system." International Journal of Electrical Power & Energy Systems 133, no. : 107161.

Article
Published: 22 April 2021 in Neural Processing Letters
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A set of coupled Kuramoto oscillators is the main applied model for harmonization study of oscillating phenomena in physical, biological and engineering networks. In line with the previous studies and to bring the analytical results into conformity with further realistic models, in present paper the synchronization of Kuramoto oscillators has been investigated and the necessary and sufficient conditions for the frequency synchronization and phase cohesiveness have been introduced using the contraction property. The novelty of this paper lies in the following: (I) we consider the heterogeneous second-order model with non-uniformity in coupling topology; (II) we apply a non-zero and non-uniform phase shift in coupling function; (III) we introduce a new Lyapunov-based stability analysis technique. We demonstrate how the heterogeneity in network and the phase shift in coupling function are the key factors in network synchronization. The synchronization conditions are presented on the basis of network graph-theoretical characteristics and the oscillators’ parameters. Investigation of the analytical results reveals that an increase in the phase shift and heterogeneity of oscillators will complicate the synchronization conditions. The validity of the main theoretical results has been confirmed through the numerical simulations.

ACS Style

Reza Farhangi; Mohammad Taghi Hamidi Beheshti. The Kuramoto Model: The Stability Conditions in the Presence of Phase Shift. Neural Processing Letters 2021, 1 -18.

AMA Style

Reza Farhangi, Mohammad Taghi Hamidi Beheshti. The Kuramoto Model: The Stability Conditions in the Presence of Phase Shift. Neural Processing Letters. 2021; ():1-18.

Chicago/Turabian Style

Reza Farhangi; Mohammad Taghi Hamidi Beheshti. 2021. "The Kuramoto Model: The Stability Conditions in the Presence of Phase Shift." Neural Processing Letters , no. : 1-18.

Original research paper
Published: 07 April 2021 in IET Smart Grid
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A novel distributed secondary layer control strategy based on average consensus and fractional‐order proportional‐integral (FOPI) local controllers is proposed for the regulation of the bus voltages and energy level balancing of the energy storage systems (ESSs) in DC microgrids. The distributed consensus protocol works based on an undirected sparse communication network. Fractional‐order local controllers increase the degree of freedom in the tuning of closed‐loop controllers, which is required for DC microgrids with high order dynamics. Therefore, here, FOPI local controllers are proposed for enhanced energy balancing of ESSs and improved regulation of the bus voltages across the microgrid. The proposed control strategy operates in both islanded and grid‐connected modes of a DC microgrid. In both modes, the average voltage of the microgrid converges to the microgrid desired reference voltage. The charging/discharging of ESSs is controlled independent of the microgrid operating mode to maintain a balanced energy level. The performance of the proposed distributed control strategy is validated in a 38‐ V DC microgrid case study, simulated by Simulink real‐time desktop, consisting of 10 buses and a photovoltaic renewable energy source.

ACS Style

Mehdi Doostinia; Mohammad T. H. Beheshti; Seyed A. Alavi; Josep M. Guerrero. Distributed control strategy for DC microgrids based on average consensus and fractional‐order local controllers. IET Smart Grid 2021, 1 .

AMA Style

Mehdi Doostinia, Mohammad T. H. Beheshti, Seyed A. Alavi, Josep M. Guerrero. Distributed control strategy for DC microgrids based on average consensus and fractional‐order local controllers. IET Smart Grid. 2021; ():1.

Chicago/Turabian Style

Mehdi Doostinia; Mohammad T. H. Beheshti; Seyed A. Alavi; Josep M. Guerrero. 2021. "Distributed control strategy for DC microgrids based on average consensus and fractional‐order local controllers." IET Smart Grid , no. : 1.

Journal article
Published: 19 March 2021 in International Journal of Electrical Power & Energy Systems
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The present study proposes a stable control strategy based on the finite-control-set model-predictive control (FCS-MPC) for normal operation and fault conditions in a permanent magnet synchronous generator (PMSG). Voltage should be recovered in grid fault conditions to satisfy the requirements of low voltage ride through (LVRT) in some grid codes. The proposed control method will be based on a control Lyapunov function (CLF) in continuous control law for stabilizing the closed loop system. The cost function will be minimized using at least one discrete switching state in the FCS-MPC. This method prevents a sudden rise in the voltage of the DC-link by storing active power as the rotor inertia. The effectiveness of the proposed control system is validated in MATLAB for a wind turbine generator. The simulations show that this method can cover the DC-link voltage during faults.

ACS Style

Behnaz Babaghorbani; Mohammad Taghi Beheshti; Heidar Ali Talebi. A Lyapunov-based model predictive control strategy in a permanent magnet synchronous generator wind turbine. International Journal of Electrical Power & Energy Systems 2021, 130, 106972 .

AMA Style

Behnaz Babaghorbani, Mohammad Taghi Beheshti, Heidar Ali Talebi. A Lyapunov-based model predictive control strategy in a permanent magnet synchronous generator wind turbine. International Journal of Electrical Power & Energy Systems. 2021; 130 ():106972.

Chicago/Turabian Style

Behnaz Babaghorbani; Mohammad Taghi Beheshti; Heidar Ali Talebi. 2021. "A Lyapunov-based model predictive control strategy in a permanent magnet synchronous generator wind turbine." International Journal of Electrical Power & Energy Systems 130, no. : 106972.

Article
Published: 10 March 2021 in International Journal of Dynamics and Control
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This paper transforms the Keller–Miksis (KM) model, which is the main equation describing the bubble behavior, into a state space representation and presents a stability condition for the system using the linearized form of the KM equation. The dynamic of the cavitation bubble is analyzed for different gases, and its burst time is measured. Then, a sliding mode controller (SMC) is designed for the nonlinear system to regulate the radius of a single spherical bubble and prevent collapse occurrence, which has a great importance in some industrial applications. The system's robustness in the presence of uncertainties in bubble parameters is one of its most significant control objectives obtained in the controller designed in this paper. A comparison is also made between this controller and the controller previously designed for the simpler bubble model (Rayleigh–Plesset (RP) model). Also, the chattering created by SMC is eliminated by two methods. Simulation results are presented to show the effectiveness of the proposed method.

ACS Style

Bahar Rahmatizadeh; Mohamad Taghi Hamidi Beheshti; Masoumeh Azadegan; Mahmoud Najafi. Stability analysis and sliding mode control of a single spherical bubble described by Keller–Miksis equation. International Journal of Dynamics and Control 2021, 1 -8.

AMA Style

Bahar Rahmatizadeh, Mohamad Taghi Hamidi Beheshti, Masoumeh Azadegan, Mahmoud Najafi. Stability analysis and sliding mode control of a single spherical bubble described by Keller–Miksis equation. International Journal of Dynamics and Control. 2021; ():1-8.

Chicago/Turabian Style

Bahar Rahmatizadeh; Mohamad Taghi Hamidi Beheshti; Masoumeh Azadegan; Mahmoud Najafi. 2021. "Stability analysis and sliding mode control of a single spherical bubble described by Keller–Miksis equation." International Journal of Dynamics and Control , no. : 1-8.

Journal article
Published: 12 February 2021 in IEEE Transactions on Power Systems
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In this paper, we introduce a distributed secondary voltage and frequency control scheme for an islanded ac microgrid under event-triggered communication. An integral type event-triggered mechanism is proposed by which each distributed generator (DG) periodically checks its triggering condition and determines whether to update its control inputs and broadcast its states to neighboring DGs. In contrast to existing event-triggered strategies on secondary control of microgrids, the proposed event-triggered mechanism is able to handle the consensus problem in case of asynchronous communication. Under the proposed sampled-data based event-triggered mechanism, DGs do not need to be synchronized to a common clock and each individual DG checks its triggering condition periodically, relying on its own clock. Furthermore, the proposed method efficiently reduces communication rate. We provide sufficient conditions under which microgrid's frequency and a critical bus voltage asymptotically converge to the nominal frequency and voltage, respectively. Finally, effectiveness of our proposed method is verified by testing different scenarios on an islanded ac microgrid benchmark in the MATLAB/Simulink environment as well as a hardware-in-the-loop (HIL) platform, where the physical system is modeled in the Opal-RT and the cyber system is realized in Raspberry Pis.

ACS Style

Keywan Mohammadi; Elnaz Azizi; Jeewon Choi; Mohammad-Taghi Hamidi-Beheshti; Ali Bidram; Sadegh Bolouki. Asynchronous Periodic Distributed Event-Triggered Voltage and Frequency Control of Microgrids. IEEE Transactions on Power Systems 2021, 36, 4524 -4538.

AMA Style

Keywan Mohammadi, Elnaz Azizi, Jeewon Choi, Mohammad-Taghi Hamidi-Beheshti, Ali Bidram, Sadegh Bolouki. Asynchronous Periodic Distributed Event-Triggered Voltage and Frequency Control of Microgrids. IEEE Transactions on Power Systems. 2021; 36 (5):4524-4538.

Chicago/Turabian Style

Keywan Mohammadi; Elnaz Azizi; Jeewon Choi; Mohammad-Taghi Hamidi-Beheshti; Ali Bidram; Sadegh Bolouki. 2021. "Asynchronous Periodic Distributed Event-Triggered Voltage and Frequency Control of Microgrids." IEEE Transactions on Power Systems 36, no. 5: 4524-4538.

Journal article
Published: 12 January 2021 in Sustainability
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Nowadays, energy management aims to propose different strategies to utilize available energy resources, resulting in sustainability of energy systems and development of smart sustainable cities. As an effective approach toward energy management, non-intrusive load monitoring (NILM), aims to infer the power profiles of appliances from the aggregated power signal via purely analytical methods. Existing NILM methods are susceptible to various issues such as the noise and transient spikes of the power signal, overshoots at the mode transition times, close consumption values by different appliances, and unavailability of a large training dataset. This paper proposes a novel event-based NILM classification algorithm mitigating these issues. The proposed algorithm (i) filters power signals and accurately detects all events; (ii) extracts specific features of appliances, such as operation modes and their respective power intervals, from their power signals in the training dataset; and (iii) labels with high accuracy each detected event of the aggregated signal with an appliance mode transition. The algorithm is validated using REDD with the results showing its effectiveness to accurately disaggregate low-frequency measured data by existing smart meters.

ACS Style

Elnaz Azizi; Mohammad Beheshti; Sadegh Bolouki. Event Matching Classification Method for Non-Intrusive Load Monitoring. Sustainability 2021, 13, 693 .

AMA Style

Elnaz Azizi, Mohammad Beheshti, Sadegh Bolouki. Event Matching Classification Method for Non-Intrusive Load Monitoring. Sustainability. 2021; 13 (2):693.

Chicago/Turabian Style

Elnaz Azizi; Mohammad Beheshti; Sadegh Bolouki. 2021. "Event Matching Classification Method for Non-Intrusive Load Monitoring." Sustainability 13, no. 2: 693.

Journal article
Published: 09 July 2020 in IEEE Transactions on Consumer Electronics
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Home energy management requires accurate information about the appliances’ consumption pattern. This information can help consumers save energy, control their usage by shifting their usage to off-peak hours and reduce their electricity costs. Non-intrusive load monitoring (NILM) in which the power consumption profile of appliances are extracted from the aggregated signal of a household, provides this information. For the NILM problem, machine learning approaches as the training-based solutions require large training datasets for an accurate disaggregation and the optimization-based approaches employs prior information about the characteristics of appliances. This paper proposes a novel event-based optimization algorithm. In its first stage, the prior information about appliances is extracted from the events of the consumption profiles of appliances by means of clustering. Then, a new event-based down-sampling method and transition filtering are designed for decreasing the computation time of optimization. At the last stage of the proposed algorithm, post-processing considering ON duration of appliances and varying states are proposed to increase the accuracy of the power profile reconstruction. The proposed approach was successfully tested for the low-frequency dataset of a house from the REDD. Numerical results show the advantages of the proposed algorithm, marked improvement over classification-based NILM considering small training dataset and its applicability in disaggregating the power consumption measured by the smart meter.

ACS Style

Elnaz Azizi; Amin Mohammadpour Shotorbani; Mohhamd-Taghi Hamidi-Beheshti; Behnam Mohammadi-Ivatloo; Sadegh Bolouki. Residential Household Non-Intrusive Load Monitoring via Smart Event-based Optimization. IEEE Transactions on Consumer Electronics 2020, 66, 233 -241.

AMA Style

Elnaz Azizi, Amin Mohammadpour Shotorbani, Mohhamd-Taghi Hamidi-Beheshti, Behnam Mohammadi-Ivatloo, Sadegh Bolouki. Residential Household Non-Intrusive Load Monitoring via Smart Event-based Optimization. IEEE Transactions on Consumer Electronics. 2020; 66 (3):233-241.

Chicago/Turabian Style

Elnaz Azizi; Amin Mohammadpour Shotorbani; Mohhamd-Taghi Hamidi-Beheshti; Behnam Mohammadi-Ivatloo; Sadegh Bolouki. 2020. "Residential Household Non-Intrusive Load Monitoring via Smart Event-based Optimization." IEEE Transactions on Consumer Electronics 66, no. 3: 233-241.

Journal article
Published: 24 January 2020 in Journal of Energy Storage
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Demand side management (DSM) plays a critical role in dealing with power system reliability as one of the main challenges of generating energy in stand-alone residential buildings. This paper introduces a new effective approach of DSM based on predetermined hourly generation and time-varying tariffs to enhance the reliability and quality of a stand-alone energy system. This research focus on two main novelties: 1) analyzing data via clustering method to improve the efficiency and accuracy of DSM, and 2) a state-of-the-art modeling framework DSM for a stand-alone residential building. Looking at first novelty, the well-known linkage-ward clustering method is used for defining time-varying tariffs and in the second novelty the mixed integer linear programming (MILP) formulates the power system components, load management and objective function considering user's priority and convenience to improve the reliability of a stand-alone energy system. The proposed method outperforms DSM in hybrid power systems consisting of photovoltaic, wind turbines, and energy storage systems. To illustrate the efficiency of this strategy, the proposed DSM is applied to a stand-alone building located in Sistan and Baluchistan province of Iran as an experimental case. Considering four different case studies that include a battery energy storage system and electric vehicle, the results reveal that the power system reliability and energy supplying quality are significantly improved by utilizing the aforementioned DSM.

ACS Style

Masoud Babaei; Elnaz Azizi; Mohammad Th Beheshti; Mohsen Hadian. Data-Driven load management of stand-alone residential buildings including renewable resources, energy storage system, and electric vehicle. Journal of Energy Storage 2020, 28, 101221 .

AMA Style

Masoud Babaei, Elnaz Azizi, Mohammad Th Beheshti, Mohsen Hadian. Data-Driven load management of stand-alone residential buildings including renewable resources, energy storage system, and electric vehicle. Journal of Energy Storage. 2020; 28 ():101221.

Chicago/Turabian Style

Masoud Babaei; Elnaz Azizi; Mohammad Th Beheshti; Mohsen Hadian. 2020. "Data-Driven load management of stand-alone residential buildings including renewable resources, energy storage system, and electric vehicle." Journal of Energy Storage 28, no. : 101221.

Research paper
Published: 02 January 2020 in Iranian Journal of Science and Technology, Transactions of Electrical Engineering
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In this paper, a robust fractional-order PID (FOPID) controller is proposed to regulate islanded microgrid (MG) frequency. The considered MG is composed of a photovoltaic system, a wind turbine generation, a diesel generator, a battery energy storage system, the control unit, and loads. Some challenges in islanded MGs such as unpredictable variation in output power of renewable energy sources and model uncertainties, affect the system performance and lead to frequency deviations from the nominal value. For designing the proposed robust controller, the wind power and solar radiation are considered as disturbance inputs. Also, uncertainties are assumed in the inertia constant and the load damping coefficient parameters of the system. The FOPID parameters are determined by minimizing some constraints that guarantee robust stability and robust performance of the system. The performance of the proposed FOPID controller is compared with those of the classic PID and H∞ controllers. The effectiveness of the controller is illustrated through appropriate simulations.

ACS Style

Shabnam Khosravi; Mohammad Taghi Hamidi Beheshti; Hassan Rastegar. Robust Control of Islanded Microgrid Frequency Using Fractional-Order PID. Iranian Journal of Science and Technology, Transactions of Electrical Engineering 2020, 44, 1207 -1220.

AMA Style

Shabnam Khosravi, Mohammad Taghi Hamidi Beheshti, Hassan Rastegar. Robust Control of Islanded Microgrid Frequency Using Fractional-Order PID. Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 2020; 44 (3):1207-1220.

Chicago/Turabian Style

Shabnam Khosravi; Mohammad Taghi Hamidi Beheshti; Hassan Rastegar. 2020. "Robust Control of Islanded Microgrid Frequency Using Fractional-Order PID." Iranian Journal of Science and Technology, Transactions of Electrical Engineering 44, no. 3: 1207-1220.

Special issue
Published: 29 April 2019 in Asian Journal of Control
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This research investigates a wind energy conversion system based on a permanent magnet synchronous generator (PMSG). In addition, a model predictive control (MPC) is proposed for the PMSG in normal and fault conditions. The most efficient mode of the control algorithm is found for maximum power point tracking in normal conditions and fast dynamic response in fault conditions following the selection of the optimum voltage vector. This method prevents a sudden increase in the DC‐link voltage by storing the active power in the generator rotor inertia. Moreover, during the low voltage, the grid code adoption of the reactive current is injected into the grid side. The performance of the proposed control scheme is evaluated for a wind power generator using MATLAB software. The simulation results demonstrate that the proposed method can safeguard the DC‐link during the fault.

ACS Style

Behnaz Babaghorbani; Mohammad Taghi Hamidi Beheshti; Heidar Ali Talebi. An improved model predictive control of low voltage ride through in a permanent magnet synchronous generator in wind turbine systems. Asian Journal of Control 2019, 21, 1991 -2003.

AMA Style

Behnaz Babaghorbani, Mohammad Taghi Hamidi Beheshti, Heidar Ali Talebi. An improved model predictive control of low voltage ride through in a permanent magnet synchronous generator in wind turbine systems. Asian Journal of Control. 2019; 21 (4):1991-2003.

Chicago/Turabian Style

Behnaz Babaghorbani; Mohammad Taghi Hamidi Beheshti; Heidar Ali Talebi. 2019. "An improved model predictive control of low voltage ride through in a permanent magnet synchronous generator in wind turbine systems." Asian Journal of Control 21, no. 4: 1991-2003.

Conference paper
Published: 01 November 2018 in 2018 Smart Grid Conference (SGC)
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Traditional power grid, regarding the problems which it faces with, is going toward Smart grid, and this will be conducive to enhancing the efficiency of the system. However, Smart grid is dependent on a huge amount of data which are transmitted between different parts of the system and central controller through an extensive communication network in order to control the system. This information transmission makes Smart grid vulnerable to cyber attacks that can give rise to catastrophic consequences. In this paper, we employ an algorithm to detect and estimate attacks on smart grids. In this algorithm due to the stochastic nature of the power system, we design a Kalman filter to estimate state variables and the output of the system and use a χ 2 -detector to detect attack occurrence. The efficiency of this algorithm for smart grid is evaluated under Scaling, Ramp, Random and DOS attacks by numerical simulation.

ACS Style

Fatemeh Akbarian; Amin Ramezani; Mohammad-Taghi Hamidi-Beheshti; Vahid Haghighat. Intrusion Detection on Critical Smart Grid Infrastructure. 2018 Smart Grid Conference (SGC) 2018, 1 -6.

AMA Style

Fatemeh Akbarian, Amin Ramezani, Mohammad-Taghi Hamidi-Beheshti, Vahid Haghighat. Intrusion Detection on Critical Smart Grid Infrastructure. 2018 Smart Grid Conference (SGC). 2018; ():1-6.

Chicago/Turabian Style

Fatemeh Akbarian; Amin Ramezani; Mohammad-Taghi Hamidi-Beheshti; Vahid Haghighat. 2018. "Intrusion Detection on Critical Smart Grid Infrastructure." 2018 Smart Grid Conference (SGC) , no. : 1-6.

Conference paper
Published: 01 June 2018 in 2018 Annual American Control Conference (ACC)
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ACS Style

M. Najafi; D. Fincher; Mohammad Beheshti. A Study of the Reduction of Excessive Energy Generated by Strong Winds on Power Lines Via a Velocity Damping Controller at the Transmission Tower. 2018 Annual American Control Conference (ACC) 2018, 1 .

AMA Style

M. Najafi, D. Fincher, Mohammad Beheshti. A Study of the Reduction of Excessive Energy Generated by Strong Winds on Power Lines Via a Velocity Damping Controller at the Transmission Tower. 2018 Annual American Control Conference (ACC). 2018; ():1.

Chicago/Turabian Style

M. Najafi; D. Fincher; Mohammad Beheshti. 2018. "A Study of the Reduction of Excessive Energy Generated by Strong Winds on Power Lines Via a Velocity Damping Controller at the Transmission Tower." 2018 Annual American Control Conference (ACC) , no. : 1.

Original articles
Published: 06 November 2017 in International Journal of Systems Science
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In this paper, a robust fractional-order controller is designed to control the congestion in transmission control protocol (TCP) networks with time-varying parameters. Fractional controllers can increase the stability and robustness. Regardless of advantages of fractional controllers, they are still not common in congestion control in TCP networks. The network parameters are time-varying, so the robust stability is important in congestion controller design. Therefore, we focused on the robust controller design. The fractional PID controller is developed based on active queue management (AQM). D-partition technique is used. The most important property of designed controller is the robustness to the time-varying parameters of the TCP network. The vertex quasi-polynomials of the closed-loop characteristic equation are obtained, and the stability boundaries are calculated for each vertex quasi-polynomial. The intersection of all stability regions is insensitive to network parameter variations, and results in robust stability of TCP/AQM system. NS-2 simulations show that the proposed algorithm provides a stable queue length. Moreover, simulations show smaller oscillations of the queue length and less packet drop probability for FPID compared to PI and PID controllers. We can conclude from NS-2 simulations that the average packet loss probability variations are negligible when the network parameters change.

ACS Style

Hamideh Hamidian; Mohammad T. H. Beheshti. A robust fractional-order PID controller design based on active queue management for TCP network. International Journal of Systems Science 2017, 49, 211 -216.

AMA Style

Hamideh Hamidian, Mohammad T. H. Beheshti. A robust fractional-order PID controller design based on active queue management for TCP network. International Journal of Systems Science. 2017; 49 (1):211-216.

Chicago/Turabian Style

Hamideh Hamidian; Mohammad T. H. Beheshti. 2017. "A robust fractional-order PID controller design based on active queue management for TCP network." International Journal of Systems Science 49, no. 1: 211-216.

Conference paper
Published: 01 July 2017 in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Multiple-Choice Decision-Making Tasks are widely used to analyze behavior and infer underlying cognitive states that shape the decision and learning processes. The behavioral signals recorded in these tasks are dynamic and often non-Gaussian - for instance, when learning a multiple choice association task. Previously developed estimation algorithms for latent behavioral variables do not address multiple-choice responses. In this research, we use a state-space modeling framework to predict a cognitive learning state related to multiple choice decisions, which are best described by a multinomial distribution. The proposed algorithm combines a multinomial filter/smoother and a variational Bayes technique to estimate the dynamics of a learning state vector. The algorithm is applied to decision response data recorded from non-human primates (NHPs) performing a Multiple-Choice Decision Task.

ACS Style

Ali Yousefi; Reza Kakooee; Mohammad Th. Beheshti; Darin D. Dougherty; Emad N. Eskandar; Alik S. Widge; Uri T. Eden. Predicting learning dynamics in Multiple-Choice Decision-Making Tasks using a variational Bayes technique. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2017, 3194 -3197.

AMA Style

Ali Yousefi, Reza Kakooee, Mohammad Th. Beheshti, Darin D. Dougherty, Emad N. Eskandar, Alik S. Widge, Uri T. Eden. Predicting learning dynamics in Multiple-Choice Decision-Making Tasks using a variational Bayes technique. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2017; ():3194-3197.

Chicago/Turabian Style

Ali Yousefi; Reza Kakooee; Mohammad Th. Beheshti; Darin D. Dougherty; Emad N. Eskandar; Alik S. Widge; Uri T. Eden. 2017. "Predicting learning dynamics in Multiple-Choice Decision-Making Tasks using a variational Bayes technique." 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , no. : 3194-3197.

Conference paper
Published: 01 May 2017 in 2017 Iranian Conference on Electrical Engineering (ICEE)
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In this paper, we consider a nonlinear networked control system (NCS) in which controller, sensors and actuators are connected via several communication links. In Each link, networking effects such as the transmission delays, packet loss, sampling jiiter and data packet miss-ordering are captured by time-varying delays. Stability analysis is carried out based on the Lyapunov-Krasovskii method to obtain conditions for stability of the nonlinear NCS in the form of linear matrix inequality (LMI). The results are applied to a two degrees of freedom robot arm NCS which shows a considerable improvement with respect to the previous works.

ACS Style

Rahim Delavar; Babak Tavassoli; Mohammad Taghi Hamidi Beheshti. Improved stability analysis of nonlinear networked control systems over multiple communication links. 2017 Iranian Conference on Electrical Engineering (ICEE) 2017, 917 -922.

AMA Style

Rahim Delavar, Babak Tavassoli, Mohammad Taghi Hamidi Beheshti. Improved stability analysis of nonlinear networked control systems over multiple communication links. 2017 Iranian Conference on Electrical Engineering (ICEE). 2017; ():917-922.

Chicago/Turabian Style

Rahim Delavar; Babak Tavassoli; Mohammad Taghi Hamidi Beheshti. 2017. "Improved stability analysis of nonlinear networked control systems over multiple communication links." 2017 Iranian Conference on Electrical Engineering (ICEE) , no. : 917-922.

Article
Published: 12 January 2017 in Asian Journal of Control
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This paper presents a new model for networked control systems (NCSs) under transmission control protocol (TCP) as a multiple-delay system by considering both sensor to controller and controller to actuator delays. An analytical TCP model has been considered for the network part, and an active queue management (AQM) controller is designed to regulate the desired queue length, which ensures holding the network induced delay and its variation within their lower bounds. The model is assumed to possess structured uncertainties due to the stochastic nature of the network. Robust stability and stabilization conditions are derived in terms of linear matrix inequalities (LMIs) by applying the Lyapunov-Krasovskii stability criterion. Illustrative examples are presented and it has been shown that the proposed method will obtain less conservative results compared to the existing approaches in the literature.

ACS Style

Masoumeh Azadegan; Mohammad T. H. Beheshti. Robust Stability and Stabilization Of TCP-Networked Control Systems with Multiple Delay System Modeling. Asian Journal of Control 2017, 19, 1034 -1045.

AMA Style

Masoumeh Azadegan, Mohammad T. H. Beheshti. Robust Stability and Stabilization Of TCP-Networked Control Systems with Multiple Delay System Modeling. Asian Journal of Control. 2017; 19 (3):1034-1045.

Chicago/Turabian Style

Masoumeh Azadegan; Mohammad T. H. Beheshti. 2017. "Robust Stability and Stabilization Of TCP-Networked Control Systems with Multiple Delay System Modeling." Asian Journal of Control 19, no. 3: 1034-1045.

Conference paper
Published: 10 October 2016 in 2016 24th Iranian Conference on Electrical Engineering (ICEE)
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The renewable energy resources provide us with green energy and flexible integration into power grids, but due to their variable nature, they cause significant frequency, voltage and power fluctuation for power system so that a sophisticated control strategy is needed to cope with these challenges. In this paper, the proposed control strategy consists of inner voltage and current controller and outer power loop. In this study, at first, coefficients of conventional PI controllers are obtained by a proposed objective function, and then it is shown that this PI controller with constant parameters doesn't work properly over wide range of load variation, and the system is likely to be unstable. To obtain better performance, gain scheduling tuning approach is proposed to adjust PI coefficients for resistive, inductive and capacitive loads. This approach is applied to an autonomous three bus ac microgrid using Particle Swarm Optimization.

ACS Style

Hossein Karimi; Mohammad T.H. Beheshti; Amin Ramezani. Decentralized voltage and frequency control in an autonomous ac microgrid using gain scheduling tuning approach. 2016 24th Iranian Conference on Electrical Engineering (ICEE) 2016, 1597 -1602.

AMA Style

Hossein Karimi, Mohammad T.H. Beheshti, Amin Ramezani. Decentralized voltage and frequency control in an autonomous ac microgrid using gain scheduling tuning approach. 2016 24th Iranian Conference on Electrical Engineering (ICEE). 2016; ():1597-1602.

Chicago/Turabian Style

Hossein Karimi; Mohammad T.H. Beheshti; Amin Ramezani. 2016. "Decentralized voltage and frequency control in an autonomous ac microgrid using gain scheduling tuning approach." 2016 24th Iranian Conference on Electrical Engineering (ICEE) , no. : 1597-1602.

Journal article
Published: 01 December 2015 in Applied Mathematical Modelling
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ACS Style

Rezvan Abbasi; Mohammad Beheshti; M. Mohraz. Modeling and stability analysis of HIV-1 as a time delay fuzzy T–S system via LMIs. Applied Mathematical Modelling 2015, 39, 7134 -7154.

AMA Style

Rezvan Abbasi, Mohammad Beheshti, M. Mohraz. Modeling and stability analysis of HIV-1 as a time delay fuzzy T–S system via LMIs. Applied Mathematical Modelling. 2015; 39 (23-24):7134-7154.

Chicago/Turabian Style

Rezvan Abbasi; Mohammad Beheshti; M. Mohraz. 2015. "Modeling and stability analysis of HIV-1 as a time delay fuzzy T–S system via LMIs." Applied Mathematical Modelling 39, no. 23-24: 7134-7154.

Journal article
Published: 19 April 2015 in Nonlinear Dynamics
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In the presence of communication latency in a bilateral teleoperation system, stability and transparency are highly regarded. The major problem with teleoperation systems is complex dynamic and subsequently designing the controller. This essay presents a novel method of controller design, based on singular perturbation framework for the bilateral teleoperation of nonlinear robots through the Internet. Using this method makes it much easier to design the controller because controller designing is done for reduced-order subsystem not full-order system. In this paper, teleoperation system dynamics was decomposed into slave (slow subsystem) and error (fast subsystem, different from master and slave), which contains position and velocity, and an adaptive sliding mode controller was designed for each of them. For constant and time-varying delay, the positions of master–slave were compared together and controlling signal was applied to the slave; therefore, they could track each other in the shortest possible time. In the simulation, the stability and performance results of teleoperation system were obtained under the proposed controller and compared with those of another approach. In this research, having higher speed and lower control signal amplitude, at the same time, elucidates the absolute superiority of the new approach.

ACS Style

Soheil Ganjefar; Mohammad Hadi Sarajchi; M. T. Hamidi Beheshti. Adaptive sliding mode controller design for nonlinear teleoperation systems using singular perturbation method. Nonlinear Dynamics 2015, 81, 1435 -1452.

AMA Style

Soheil Ganjefar, Mohammad Hadi Sarajchi, M. T. Hamidi Beheshti. Adaptive sliding mode controller design for nonlinear teleoperation systems using singular perturbation method. Nonlinear Dynamics. 2015; 81 (3):1435-1452.

Chicago/Turabian Style

Soheil Ganjefar; Mohammad Hadi Sarajchi; M. T. Hamidi Beheshti. 2015. "Adaptive sliding mode controller design for nonlinear teleoperation systems using singular perturbation method." Nonlinear Dynamics 81, no. 3: 1435-1452.