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Model predictive control of power converters: theory and practice
, 2012 Ricardo P. Aguilera
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Actor-Critic Model Predictive Control
IEEE International Conference on Robotics and Automation, 2023An open research question in robotics is how to combine the benefits of model-free reinforcement learning (RL)—known for its strong task performance and flexibility in optimizing general reward formulations—with the robustness and online replanning ...
Angel Romero +2 more
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IEEE/CAA Journal of Automatica Sinica, 2022
Permanent magnet synchronous motors (PMSMs) have been widely employed in the industry. Finite-control-set model predictive control (FCS-MPC), as an advanced control scheme, has been developed and applied to improve the performance and efficiency of the ...
Teng Li +5 more
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Permanent magnet synchronous motors (PMSMs) have been widely employed in the industry. Finite-control-set model predictive control (FCS-MPC), as an advanced control scheme, has been developed and applied to improve the performance and efficiency of the ...
Teng Li +5 more
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A Distributionally Robust Optimization Based Method for Stochastic Model Predictive Control
IEEE Transactions on Automatic Control, 2022Two stochastic model predictive control algorithms, which are referred to as distributionally robust model predictive control algorithms, are proposed in this article for a class of discrete linear systems with unbounded noise.
Bin Li, Yuan Tan, A. Wu, G. Duan
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2019
This monograph introduces the authors' work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control,
Zhang, Ridong, Xue, Anke, Gao, Furong
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This monograph introduces the authors' work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control,
Zhang, Ridong, Xue, Anke, Gao, Furong
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NEURAL MODELS IN PREDICTIVE CONTROL
IFAC Proceedings Volumes, 1995Abstract Model Based Predictive Control (MBPC) has not yet been widely used biotechnology, although in other areas successful application have been reported. This mainly because accurate nonlinear models are usually not available for biotechnological processes.
H.J.L. van Can +4 more
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Model Predictive Control Using Artificial Neural Network for Power Converters
IEEE transactions on industrial electronics (1982. Print), 2021There has been an increasing interest in using model predictive control (MPC) for power electronic applications. However, the exponential increase in computational complexity and demand of computing resources hinders the practical adoption of this highly
Daming Wang +8 more
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Hierarchical model predictive control
2007 46th IEEE Conference on Decision and Control, 2007This paper deals with the problem of designing stable hierarchical control schemes with Model Predictive Control (MPC). Specifically, at any layer of the considered structure, a robust MPC regulator is used to compute the control variables. In turn, these variables are produced by the subsystems at lower layers and must fulfill the robustness ...
COLANERI, PATRIZIO, SCATTOLINI, RICCARDO
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