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IEEE Transactions on Neural Networks and Learning Systems, 2022
The measurement delay of the feedback control system is a universal problem in industrial engineering, which will degrade output performance, especially causing undesirable chatter responses.
Zhenlei Chen +4 more
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The measurement delay of the feedback control system is a universal problem in industrial engineering, which will degrade output performance, especially causing undesirable chatter responses.
Zhenlei Chen +4 more
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IEEE transactions on industrial electronics (1982. Print), 2022
This article proposes a non-smooth funnel control (NSFC) strategy based on the extended state observer (ESO) for motor-drive servo systems with unknown dynamics. These unknown dynamics, including the modeling error, the external disturbances, and the non-
Yun Cheng +3 more
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This article proposes a non-smooth funnel control (NSFC) strategy based on the extended state observer (ESO) for motor-drive servo systems with unknown dynamics. These unknown dynamics, including the modeling error, the external disturbances, and the non-
Yun Cheng +3 more
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LPV control with observed state feedback and dynamic output feedback
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001We recall some results concerning H/sub 2/ state feedback, pole placement in LMI regions and estimation of state by a full-order Lunberger observer. After this review, we search an LPV control for an uncertain system. Two methods are presented: the first is state feedback control with an observer and the second is control by dynamic output feedback ...
M.H. Bouazizi, A. Kochbati, M. Ksouri
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Discrete-time dynamic feedback linearization of a VTOL using observed states
IFAC Proceedings Volumes, 2008Abstract This paper addresses the trajectory tracking problem for a remotely controlled quad-rotor vertical take off and landing aircraft (VTOL), under the restriction that only the inertial coordinates are available for measurement. The problem is solved in two steps: first, a discrete-time local exponential observer is designed which allows ...
V. Rejón, E. Aranda-Bricaire
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2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), 2014
A common complaint about reinforcement learning (RL) is that it is too slow to learn a value function which gives good performance. This issue is exacerbated in continuous state spaces. This paper presents a straight-forward approach to speeding-up and even improving RL solutions by reusing features learned during a pre-training phase prior to Q ...
Daniel L Elliott, Charles Anderson
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A common complaint about reinforcement learning (RL) is that it is too slow to learn a value function which gives good performance. This issue is exacerbated in continuous state spaces. This paper presents a straight-forward approach to speeding-up and even improving RL solutions by reusing features learned during a pre-training phase prior to Q ...
Daniel L Elliott, Charles Anderson
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Current and Position Sensor Fault Diagnosis Algorithm for PMSM Drives Based on Robust State Observer
IEEE transactions on industrial electronics (1982. Print), 2021This study proposes an advanced current and position sensor fault diagnosis mechanism for permanent magnet synchronous motor (PMSM) applications. Machine nonlinear dynamics as well as parameter and load uncertainties are addressed.
Kyunghwan Choi +3 more
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IEEE transactions on industrial electronics (1982. Print), 2021
Multiphase machines, associated with state-of-the-art control strategies like finite control set model predictive control (FCS-MPC) are suitable for applications where reliability and disturbance-free operation are key factors.
P. Gonçalves, S. Cruz, A. Mendes
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Multiphase machines, associated with state-of-the-art control strategies like finite control set model predictive control (FCS-MPC) are suitable for applications where reliability and disturbance-free operation are key factors.
P. Gonçalves, S. Cruz, A. Mendes
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, 2021
A novel sliding mode control combined with extended state observer (ESO) is proposed for an ankle exoskeleton driven by electrical motor. During the process of assisting, it is necessary to design an effective controller for assisting torque of ankle ...
Jinsong Zhao +5 more
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A novel sliding mode control combined with extended state observer (ESO) is proposed for an ankle exoskeleton driven by electrical motor. During the process of assisting, it is necessary to design an effective controller for assisting torque of ankle ...
Jinsong Zhao +5 more
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IEEE transactions on fuzzy systems
This article studies the predefined time control design issue for uncertain nonlinear systems with full-state error constraints and unmeasurable states for the first time.
Hao Xu, Dengxiu Yu, Yanjun Liu
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This article studies the predefined time control design issue for uncertain nonlinear systems with full-state error constraints and unmeasurable states for the first time.
Hao Xu, Dengxiu Yu, Yanjun Liu
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IEEE Transactions on Systems, Man, and Cybernetics: Systems
To improve the tracking performance of the current controller of active power filter (APF) system, an adaptive super-twisting (ASTW) acrlong SMC using a nonlinear extended state observer (NESO) based on an interval type-2 fuzzy neural network (IT2FNN ...
J. Fei, Lunhaojie Liu
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To improve the tracking performance of the current controller of active power filter (APF) system, an adaptive super-twisting (ASTW) acrlong SMC using a nonlinear extended state observer (NESO) based on an interval type-2 fuzzy neural network (IT2FNN ...
J. Fei, Lunhaojie Liu
semanticscholar +1 more source