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Riccardo Marino was born in Ferrara, Italy, in 1956. He received the degree in Nuclear Engineering, in 1979, and MS in System Engineering, 1981, from University of La Sapienza (Italy). He obtained D.S. degree in System-Science and Mathematics, 1982, from Washington University in St. Louis (USA). Since 1990, he is Full Professor in Systems-Theory with the Electronic Department at University of Rome Tor Vergata (Italy). He co-authored two books on Nonlinear Control Design and Induction-Motor Control and hundreds of international journal and conference papers.
Controllability, maneuverability, fault-tolerance/isolation and safety are significantly enhanced in electric vehicles (EV) equipped with the redundant actuator configuration of four-in-wheel electric motors (4IWM). A highly reconfigurable architecture is proposed and illustrated for the adaptive, nonmodel-based control of 4IWM-EVs. Given the longitudinal force, yaw-moment requests and the reconfiguration matrix, each IWM is given a slip reference according to a Slip Vectoring (SV) allocation strategy, which minimizes the overall slip vector norm. The distributed electric propulsion and the slip vector reference allow for a decentralized online estimation of the four-wheel torque-loads, which are uncertain depending on loading and road conditions. This allows for the allocation of four different torques depending on individual wheel conditions and to determine in which region (linear/nonsaturated or nonlinear/saturated) of the torque/slip characteristics each wheel is operating. Consequently, the 4IWMs can be equalized or reconfigured, including actuator fault-isolation as a special case, so that they are enforced to operate within the linear tire region. The initial driving-mode selection can be automatically adjusted and restored among eighteen configurations to meet the safety requirements of linear torque/slip behavior. Three CarSim realistic simulations illustrate the equalization algorithm, the quick fault-isolation capabilities and the importance of a continuous differential action in a critical double-lane-change maneuver.
Gerardo Amato; Riccardo Marino. Reconfigurable Slip Vectoring Control in Four In-Wheel Drive Electric Vehicles. Actuators 2021, 10, 157 .
AMA StyleGerardo Amato, Riccardo Marino. Reconfigurable Slip Vectoring Control in Four In-Wheel Drive Electric Vehicles. Actuators. 2021; 10 (7):157.
Chicago/Turabian StyleGerardo Amato; Riccardo Marino. 2021. "Reconfigurable Slip Vectoring Control in Four In-Wheel Drive Electric Vehicles." Actuators 10, no. 7: 157.
In this paper it is shown how to design a stable regulator on the basis of the regulation error only, for a class of minimum-phase unknown linear systems sharing the same high-frequency gain sign and the same upper bound ρ̄ for the relative degree ρ. The order of the regulator is minimal and equal to ρ̄+2p, with p being the number of known frequencies of the biased multi-sinusoidal exogenous signal. The regulator is parameterized by a scalar gain which should be chosen sufficiently high and can be updated on-line by a simple discrete-time adaptation law at every arbitrarily chosen time interval.
Riccardo Marino; Patrizio Tomei. Adaptive output regulation for minimum-phase systems with unknown relative degree. Automatica 2021, 130, 109670 .
AMA StyleRiccardo Marino, Patrizio Tomei. Adaptive output regulation for minimum-phase systems with unknown relative degree. Automatica. 2021; 130 ():109670.
Chicago/Turabian StyleRiccardo Marino; Patrizio Tomei. 2021. "Adaptive output regulation for minimum-phase systems with unknown relative degree." Automatica 130, no. : 109670.
The adaptive tracking state-feedback control for underactuated mechanical systems with outputs characterized by global relative degree equal to two is addressed. A new control technique called virtual control is proposed. Fictitious control inputs and outputs are introduced to achieve full actuation: the key step is to find the reference signals for the fictitious outputs so that the resulting virtual adaptive controls are zero. The adaptive control of an underactuated three-link walking robot with unknown torso mass is designed according to the proposed control strategy. Simulations show that adaptation is crucial for stable walking.
Manuel Gnucci; Riccardo Marino. Adaptive tracking control for underactuated mechanical systems with relative degree two. Automatica 2021, 129, 109633 .
AMA StyleManuel Gnucci, Riccardo Marino. Adaptive tracking control for underactuated mechanical systems with relative degree two. Automatica. 2021; 129 ():109633.
Chicago/Turabian StyleManuel Gnucci; Riccardo Marino. 2021. "Adaptive tracking control for underactuated mechanical systems with relative degree two." Automatica 129, no. : 109633.
The transient stabilization and voltage regulation problem for a synchronous generator connected to an infinite bus is addressed, in this technical note, in the presence of all uncertain physical parameters. First, new interpretations for the Desensitized Four Loops Regulator, here referred to as robust coordinated PSS-AVR (Power System Stabilizer & Automatic Voltage Regulator), are derived in terms of minimum phase properties with respect to a suitably chosen output for the linearized error system. Secondly, on the basis of such an output, a nonlinear generalization of the robust coordinated PSS-AVR is designed with the aim of enlarging the stability region and improving the transients about the unpredictable operating conditions determined by the faults. Its linear action coincides with the one provided by the robust coordinated PSS-AVR: the compelling simplicity of control structure (just one integrator is involved) and robust tuning procedure of the linear design are definitely inherited, with, additionally, no use of the mechanical input power. A numerical analysis along with realistic simulations confirm improved stability when the proposed nonlinear controll
Cristiano Maria Verrelli; Riccardo Marino; Patrizio Tomei; Gilney Damm. Nonlinear Robust Coordinated PSS-AVR Control for a Synchronous Generator connected to an Infinite Bus. IEEE Transactions on Automatic Control 2021, PP, 1 -1.
AMA StyleCristiano Maria Verrelli, Riccardo Marino, Patrizio Tomei, Gilney Damm. Nonlinear Robust Coordinated PSS-AVR Control for a Synchronous Generator connected to an Infinite Bus. IEEE Transactions on Automatic Control. 2021; PP (99):1-1.
Chicago/Turabian StyleCristiano Maria Verrelli; Riccardo Marino; Patrizio Tomei; Gilney Damm. 2021. "Nonlinear Robust Coordinated PSS-AVR Control for a Synchronous Generator connected to an Infinite Bus." IEEE Transactions on Automatic Control PP, no. 99: 1-1.
The state feedback regulation of nonlinear systems of order n in parametric strict-feedback form is considered. A simple, easy to tune, adaptive control with projected parameter estimates is proposed. The uncertain parameter vector is estimated by n parallel vector estimates whose differences are constrained to tend asymptotically to zero. When the uncertain parameter vector is identifiable, the closed loop system is globally asymptotically and locally exponentially stable. Three comparative examples illustrate the advantages of the proposed simple adaptive control over the tuning functions or extended matching approaches.
Patrizio Tomei; Riccardo Marino. Adaptive nonlinear control with constrained parallel parameter estimates. Systems & Control Letters 2020, 143, 104739 .
AMA StylePatrizio Tomei, Riccardo Marino. Adaptive nonlinear control with constrained parallel parameter estimates. Systems & Control Letters. 2020; 143 ():104739.
Chicago/Turabian StylePatrizio Tomei; Riccardo Marino. 2020. "Adaptive nonlinear control with constrained parallel parameter estimates." Systems & Control Letters 143, no. : 104739.
In this paper an adaptive scheme for the dynamic control of underactuated walking robots with impulse effects is proposed and illustrated for the case of a three-link robot with unknown torso mass. The proposed strategy is based on the virtual control technique, where fictitious control inputs and outputs are defined, which allow the design of a fully actuated-like control law; the reference signals for the virtual outputs are chosen as the solutions of a dynamic constraint, on which the fictitious controls are zero. The validity of the proposed method is motivated by Lyapunov arguments and tested by simulations.
M. Gnucci; R. Marino. Adaptive Control of Walking Robots Based on Virtual Holonomic Constraints: a Simulative Study. IFAC-PapersOnLine 2019, 52, 61 -66.
AMA StyleM. Gnucci, R. Marino. Adaptive Control of Walking Robots Based on Virtual Holonomic Constraints: a Simulative Study. IFAC-PapersOnLine. 2019; 52 (22):61-66.
Chicago/Turabian StyleM. Gnucci; R. Marino. 2019. "Adaptive Control of Walking Robots Based on Virtual Holonomic Constraints: a Simulative Study." IFAC-PapersOnLine 52, no. 22: 61-66.
A stable, single-input, single-output linear system is considered whose input is affected by biased multi-sinusoidal disturbances with uncertain frequencies belonging to a given range, unknown phases and amplitudes. The problem of exponential disturbance rejection by output feedback from any initial condition is addressed and solved. The knowledge of the sign of the real part (or the imaginary part) of the transfer functions, evaluated at the frequencies belonging to the given range, is sufficient to design a novel hybrid output feedback compensator. The critical parameters of the linear controller, which are related to the unknown frequencies, are updated every predetermined time interval and are generated by an exponentially converging adaptive observer, starting from any initial condition compatible with the given range. The output is exponentially driven to zero while the unknown disturbance is reconstructed.
Riccardo Marino; Patrizio Tomei. Hybrid Adaptive Multi-Sinusoidal Disturbance Cancellation. IEEE Transactions on Automatic Control 2016, 62, 4023 -4030.
AMA StyleRiccardo Marino, Patrizio Tomei. Hybrid Adaptive Multi-Sinusoidal Disturbance Cancellation. IEEE Transactions on Automatic Control. 2016; 62 (8):4023-4030.
Chicago/Turabian StyleRiccardo Marino; Patrizio Tomei. 2016. "Hybrid Adaptive Multi-Sinusoidal Disturbance Cancellation." IEEE Transactions on Automatic Control 62, no. 8: 4023-4030.
The problem of rejecting biased multi-sinusoidal disturbances with frequencies in a given range, acting on an uncertain stable linear system is addressed. Assuming that the system uncertainty allows to design an output feedback linear compensator when the disturbance frequencies are known, an exponentially convergent adaptive observer is proposed to update the compensator parameters when the disturbance frequencies lie in a known given range. The overall proposed compensator is hybrid since its parameters are updated every fixed time-interval, according to a performance index which evaluates the adaptive observer reconstruction error. The main advantage of the proposed hybrid compensator is to drive exponentially the output to zero, from any initial condition which is compatible with the given frequency range, without requiring a sufficiently slow adaptation.
Patrizio Tomei; Riccardo Marino. Hybrid adaptive compensators for multi-sinusoidal disturbance rejection. 2016 European Control Conference (ECC) 2016, 782 -787.
AMA StylePatrizio Tomei, Riccardo Marino. Hybrid adaptive compensators for multi-sinusoidal disturbance rejection. 2016 European Control Conference (ECC). 2016; ():782-787.
Chicago/Turabian StylePatrizio Tomei; Riccardo Marino. 2016. "Hybrid adaptive compensators for multi-sinusoidal disturbance rejection." 2016 European Control Conference (ECC) , no. : 782-787.
The design of an adaptive output feedback compensator is addressed to reject biased multi-sinusoidal disturbances of unknown amplitudes, phases and frequencies, acting on unknown stable single-input single-output linear systems of unknown order and relative degree. A single biased sinusoidal disturbance is first considered. It is shown that the knowledge of the sign of the real part (or the imaginary part) of its transfer function at zero and at the disturbance frequency is sufficient for the explicit design of an adaptive compensator which guarantees local exponential convergence to zero of the system output and of the frequency estimation error. This result is generalized to the case of biased multi-sinusoidal disturbances. As a special case, an adaptive notch filter which provides the unknown frequencies contained in the disturbance is obtained.
Riccardo Marino; Patrizio Tomei. Adaptive disturbance rejection for unknown stable linear systems. Transactions of the Institute of Measurement and Control 2016, 38, 640 -647.
AMA StyleRiccardo Marino, Patrizio Tomei. Adaptive disturbance rejection for unknown stable linear systems. Transactions of the Institute of Measurement and Control. 2016; 38 (6):640-647.
Chicago/Turabian StyleRiccardo Marino; Patrizio Tomei. 2016. "Adaptive disturbance rejection for unknown stable linear systems." Transactions of the Institute of Measurement and Control 38, no. 6: 640-647.
The problem of estimating online the unknown period of a periodic signal is considered, with no a priori information on the period: this is a crucial problem in the design of learning and synchronizing controls, in fault detection, and for the attenuation of periodic disturbances. Given a measurable continuous, bounded periodic signal, with nonzero first harmonic in its Fourier series expansion, a dynamic algorithm is proposed which provides an online globally exponentially convergent estimate of the unknown period. The period estimate converges from any initial condition to a neighborhood of the true period whose size is explicitly characterized in terms of the higher order harmonics contained in the signal. The accuracy of the frequency estimation can be arbitrarily improved by increasing the order of a prefilter which is incorporated in the estimation algorithm, at the expense of reducing the rate of the exponential convergence. This online frequency estimation algorithm can be used to design hybrid disturbance attenuation controllers for periodic disturbances with unknown period.
Riccardo Marino; Patrizio Tomei. Online Frequency Estimation of Periodic Signals. Sensing and Control for Autonomous Vehicles 2015, 257 -276.
AMA StyleRiccardo Marino, Patrizio Tomei. Online Frequency Estimation of Periodic Signals. Sensing and Control for Autonomous Vehicles. 2015; ():257-276.
Chicago/Turabian StyleRiccardo Marino; Patrizio Tomei. 2015. "Online Frequency Estimation of Periodic Signals." Sensing and Control for Autonomous Vehicles , no. : 257-276.
The design of a local adaptive output feedback compensator is addressed to reject biased multiple sinusoidal disturbances of unknown amplitude, phase and frequency, acting on an unknown stable single-input single-output linear or nonlinear system. Sufficient conditions on the phase uncertainty of the system transfer function at the frequencies contained in the disturbance are provided, which lead to the compensator design. This result is generalized to the case of stable nonlinear systems.
Riccardo Marino; Patrizio Tomei. Adaptive cancellation of sinusoidal disturbances for unknown stable plants. 2015 European Control Conference (ECC) 2015, 3617 -3622.
AMA StyleRiccardo Marino, Patrizio Tomei. Adaptive cancellation of sinusoidal disturbances for unknown stable plants. 2015 European Control Conference (ECC). 2015; ():3617-3622.
Chicago/Turabian StyleRiccardo Marino; Patrizio Tomei. 2015. "Adaptive cancellation of sinusoidal disturbances for unknown stable plants." 2015 European Control Conference (ECC) , no. : 3617-3622.
Riccardo Marino; Patrizio Tomei. Adaptive notch filters are local adaptive observers. International Journal of Adaptive Control and Signal Processing 2015, 30, 128 -146.
AMA StyleRiccardo Marino, Patrizio Tomei. Adaptive notch filters are local adaptive observers. International Journal of Adaptive Control and Signal Processing. 2015; 30 (1):128-146.
Chicago/Turabian StyleRiccardo Marino; Patrizio Tomei. 2015. "Adaptive notch filters are local adaptive observers." International Journal of Adaptive Control and Signal Processing 30, no. 1: 128-146.
The regulation problem is addressed for single-input, single-output, linear unknown stable systems P(s), of unknown order, with exosystems generating biased multi-sinusoidal references and/or disturbances containing at most q known frequencies ω i , 1 ≤ i ≤ q. Sufficient conditions are presented which require the knowledge of sign[P(0)] and either sign{Re[P(jω i )]} or sign{Im[P(jω i )]}, 1 ≤ i ≤ q. The constructive proofs lead to the design of regulators with minimal order (2q + 1), provided that the gains are sufficiently small. For stable plants P(s) such that Re[P(jω)] > 0, for any ω ∈ ℝ, a universal modular regulator is designed without gain limitations.
Riccardo Marino; Patrizio Tomei. Output Regulation for Unknown Stable Linear Systems. IEEE Transactions on Automatic Control 2014, 60, 2213 -2218.
AMA StyleRiccardo Marino, Patrizio Tomei. Output Regulation for Unknown Stable Linear Systems. IEEE Transactions on Automatic Control. 2014; 60 (8):2213-2218.
Chicago/Turabian StyleRiccardo Marino; Patrizio Tomei. 2014. "Output Regulation for Unknown Stable Linear Systems." IEEE Transactions on Automatic Control 60, no. 8: 2213-2218.
Jiangyan Zhang; Tielong Shen; Kako Junichi; Riccardo Marino. Design and Validation of a Model-Based Starting Speed Control Scheme for Spark Ignition Engines. Asian Journal of Control 2014, 17, 1255 -1266.
AMA StyleJiangyan Zhang, Tielong Shen, Kako Junichi, Riccardo Marino. Design and Validation of a Model-Based Starting Speed Control Scheme for Spark Ignition Engines. Asian Journal of Control. 2014; 17 (4):1255-1266.
Chicago/Turabian StyleJiangyan Zhang; Tielong Shen; Kako Junichi; Riccardo Marino. 2014. "Design and Validation of a Model-Based Starting Speed Control Scheme for Spark Ignition Engines." Asian Journal of Control 17, no. 4: 1255-1266.
This paper addresses the problem of estimating on-line the unknown period of a periodic signal: this is a crucial problem in the design of learning and synchronizing controls, in fault detection and for the attenuation of periodic disturbances. Given a measurable continuous, bounded periodic signal, with non-zero first harmonic in its Fourier series expansion, a dynamic algorithm is proposed which provides an on-line globally exponentially convergent estimate of the unknown period. The period estimate exponentially converges from any initial condition to a neighborhood of the true period whose size is explicitly characterized in terms of the higher order harmonics contained in the signal. It is shown that the converging period estimate can be used to initialize a locally exponentially convergent estimator for the unknown period. Existing results on local frequency estimation of periodic signals are extended in two ways: any initial frequency estimate is allowed without imposing any restrictions on the algorithm design parameters; the exact value of the period is exponentially obtained, provided that the initial conditions for the period estimate are sufficiently close to the true value. When the periodic signal is a biased sinusoid, the unknown frequency is exactly estimated, along with its bias, amplitude and phase from any initial condition, thus recovering a well-known result.
Riccardo Marino; Patrizio Tomei. Frequency estimation of periodic signals. 2014 European Control Conference (ECC) 2014, 7 -12.
AMA StyleRiccardo Marino, Patrizio Tomei. Frequency estimation of periodic signals. 2014 European Control Conference (ECC). 2014; ():7-12.
Chicago/Turabian StyleRiccardo Marino; Patrizio Tomei. 2014. "Frequency estimation of periodic signals." 2014 European Control Conference (ECC) , no. : 7-12.
Single-input, single-output known stable linear systems with no zeros on the imaginary axis are considered. They are affected by disturbances which are matched by the control input. An indirect adaptive output feedback compensator is designed to attenuate the effects of continuous periodic disturbances with unknown frequency. The compensator contains an adaptive internal model which rejects a fixed number of harmonics in the Fourier series expansion of the periodic disturbance. It also contains an independent frequency estimator whose estimation error converges into an arbitrarily small neighborhood of the origin, provided that a design parameter is chosen to be sufficiently large. The adaptive compensator ensures the global exponential convergence of the closed-loop error signals to a neighborhood of the origin, whose size depends on the higher order harmonics which are neglected by the adaptive internal model.
Riccardo Marino; Patrizio Tomei. Robust Adaptive Compensation of Periodic Disturbances With Unknown Frequency. IEEE Transactions on Automatic Control 2014, 59, 2760 -2765.
AMA StyleRiccardo Marino, Patrizio Tomei. Robust Adaptive Compensation of Periodic Disturbances With Unknown Frequency. IEEE Transactions on Automatic Control. 2014; 59 (10):2760-2765.
Chicago/Turabian StyleRiccardo Marino; Patrizio Tomei. 2014. "Robust Adaptive Compensation of Periodic Disturbances With Unknown Frequency." IEEE Transactions on Automatic Control 59, no. 10: 2760-2765.
The problem of detecting a rotor speed sensor fault in induction motor applications with load torque and rotor/stator resistances uncertainties is addressed. It is shown that in typical operating conditions involving constant rotor speed and flux modulus and non-zero load torque, a constant non-zero (sufficiently large) difference between the measured speed and the actual speed may be on-line identified by an adaptive flux observer which incorporates a convergent rotor resistance identifier and relies on the measured rotor speed and stator currents/voltages. Simulation and experimental results illustrate the effectiveness of the proposed solution and show satisfactory fault detection performances.
R. Marino; S. Scalzi; P. Tomei; C. M. Verrelli. Adaptive Flux Observers and Rotor Speed Sensor Fault Detection in Induction Motors. Lecture Notes in Electrical Engineering 2014, 3 -18.
AMA StyleR. Marino, S. Scalzi, P. Tomei, C. M. Verrelli. Adaptive Flux Observers and Rotor Speed Sensor Fault Detection in Induction Motors. Lecture Notes in Electrical Engineering. 2014; ():3-18.
Chicago/Turabian StyleR. Marino; S. Scalzi; P. Tomei; C. M. Verrelli. 2014. "Adaptive Flux Observers and Rotor Speed Sensor Fault Detection in Induction Motors." Lecture Notes in Electrical Engineering , no. : 3-18.
The class of discrete time, linear, reachable and observable systems with known parameters is considered: the regulation problem is addressed when the output channel is corrupted by additive unmodelled bounded noise not restricted to high frequencies and the input channel is affected by disturbances generated by a linear exosystem with unknown eigenvalues on the unit circle. A constructive robust algorithm is proposed to drive the system output exponentially into a set whose magnitude depends on the unmodelled noise magnitude. The control strategy includes an on-line estimator of the excited exosystem unknown parameters, whose observation error is shown to be rendered arbitrarily small by choosing a design parameter arbitrarily small; the output regulation error can also be rendered arbitrarily small, under standard regularity hypotheses, if the system to be regulated is asymptotically stable. The algorithm is tested on a numerical example to illustrate its effectiveness.
Riccardo Marino; Giovanni L. Santosuosso. Regulation of discrete time linear systems with uncertain exosystems from noisy measurements. 52nd IEEE Conference on Decision and Control 2013, 7534 -7539.
AMA StyleRiccardo Marino, Giovanni L. Santosuosso. Regulation of discrete time linear systems with uncertain exosystems from noisy measurements. 52nd IEEE Conference on Decision and Control. 2013; ():7534-7539.
Chicago/Turabian StyleRiccardo Marino; Giovanni L. Santosuosso. 2013. "Regulation of discrete time linear systems with uncertain exosystems from noisy measurements." 52nd IEEE Conference on Decision and Control , no. : 7534-7539.
An indirect adaptive output feedback compensator is designed to attenuate the effects of periodic disturbances with unknown frequency on a known stable linear system with no zeros on the imaginary axis. The compensator contains an adaptive internal model which rejects a fixed number of harmonics in the Fourier series expansion of the periodic disturbance. It also contains an independent frequency estimator whose estimation error converges into an arbitrarily small neighborhood of the origin, provided that a design parameter is chosen to be sufficiently large. The adaptive compensator ensures the global exponential convergence of the closed loop error signals to a neighborhood of the origin, whose size depends on the higher order harmonics which are neglected by the adaptive internal model.
Riccardo Marino; Patrizio Tomei. Robust adaptive compensation of periodic disturbances with unknown frequency. 52nd IEEE Conference on Decision and Control 2013, 7528 -7533.
AMA StyleRiccardo Marino, Patrizio Tomei. Robust adaptive compensation of periodic disturbances with unknown frequency. 52nd IEEE Conference on Decision and Control. 2013; ():7528-7533.
Chicago/Turabian StyleRiccardo Marino; Patrizio Tomei. 2013. "Robust adaptive compensation of periodic disturbances with unknown frequency." 52nd IEEE Conference on Decision and Control , no. : 7528-7533.
Rotor and stator resistances along with load torque are typically uncertain quantities in induction machines. The machine heating makes the winding resistances vary during operation whereas the load torque strictly depends on the application. All those variables need to be on-line estimated to improve the drive performances and in particular to minimize the power loss at steady state. A new adaptive observer is designed in this brief. It is able to exponentially estimate the motor fluxes and to identify the aforementioned critical parameters from stator currents/voltages and rotor speed measurements. In contrast to other solutions proposed in the literature, rotor and stator resistances are not estimated on the same time scale. New insights on the behavior of an intuitively inspired observer are thus given through a detailed stability proof, which does not rely on linearization arguments around constant operating conditions. Persistency of excitation conditions, which only depend on exogenous signals to the estimation error system, are analyzed in detail and a clear physical interpretation is presented. Key features of the proposed solution are the overall simplicity of the estimation scheme, the low dimension of the regressor matrix (being exactly related to the number of unmeasured or uncertain quantities) and the exponential convergence to zero of the estimation errors. Simulations confirm the correctness of all the mathematical derivations. Experimental results show the effectiveness of the proposed approach in implementing an advanced version of the indirect field oriented control scheme: the uncertain rotor flux modulus reference that minimizes the power loss at steady state can be actually estimated and imposed.
Cristiano Maria Verrelli; Alberto Savoia; Michele Mengoni; Riccardo Marino; Patrizio Tomei; Luca Zarri. On-Line Identification of Winding Resistances and Load Torque in Induction Machines. IEEE Transactions on Control Systems Technology 2013, 22, 1629 -1637.
AMA StyleCristiano Maria Verrelli, Alberto Savoia, Michele Mengoni, Riccardo Marino, Patrizio Tomei, Luca Zarri. On-Line Identification of Winding Resistances and Load Torque in Induction Machines. IEEE Transactions on Control Systems Technology. 2013; 22 (4):1629-1637.
Chicago/Turabian StyleCristiano Maria Verrelli; Alberto Savoia; Michele Mengoni; Riccardo Marino; Patrizio Tomei; Luca Zarri. 2013. "On-Line Identification of Winding Resistances and Load Torque in Induction Machines." IEEE Transactions on Control Systems Technology 22, no. 4: 1629-1637.