Results 291 to 300 of about 1,700,235 (339)
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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
+6 more sources
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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2021
This chapter introduces the basic concepts of Model Predictive Control (MPC) theory necessary to design the controller in later chapters. With a focus on MPC for linear systems, the design of controllers with different objective functions is covered, and some key methods such as reference tracking are presented while elaborating on implementation ...
Afonso Botelho +3 more
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This chapter introduces the basic concepts of Model Predictive Control (MPC) theory necessary to design the controller in later chapters. With a focus on MPC for linear systems, the design of controllers with different objective functions is covered, and some key methods such as reference tracking are presented while elaborating on implementation ...
Afonso Botelho +3 more
openaire +2 more sources
Decentralized Model Predictive Control
2010Decentralized and distributed model predictive control (DMPC) addresses the problem of controlling a multivariable dynamical process, composed by several interacting subsystems and subject to constraints, in a computation and communication efficient way.
Bemporad, Alberto, Barcelli, Davide
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2000
Chapter 4 showed that the controllability of sheet and film processes can be quantified in terms of the accuracy of the signs of the process gains. It was also shown that constraint handling is unnecessary for many sheet and film processes, provided that the controller is designed to be robust to model uncertainties.
Andrew P. Featherstone +2 more
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Chapter 4 showed that the controllability of sheet and film processes can be quantified in terms of the accuracy of the signs of the process gains. It was also shown that constraint handling is unnecessary for many sheet and film processes, provided that the controller is designed to be robust to model uncertainties.
Andrew P. Featherstone +2 more
openaire +1 more source
Robust Model-Predictive Control
2013Model predictive control (MPC) is indisputably one of the rare modern control techniques that has significantly affected control engineering practice due to its unique ability to systematically handle constraints and optimize performance. Robust MPC (RMPC) is an improved form of the conventional MPC that is intrinsically robust in the face of ...
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2007
This chapter describes the elements that are common to all Model Predictive controllers, showing the various alternatives used in the different implementations. Some of the most popular methods will later be reviewed to demonstrate their most outstanding characteristics.
E. F. Camacho, C. Bordons
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This chapter describes the elements that are common to all Model Predictive controllers, showing the various alternatives used in the different implementations. Some of the most popular methods will later be reviewed to demonstrate their most outstanding characteristics.
E. F. Camacho, C. Bordons
openaire +1 more source