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Robustness of an adaptive predictive controller
IEEE Transactions on Automatic Control, 1994Summary: In this correspondence, robustness properties of an adaptive predictive controller are presented. The algorithm is obtained via a receding horizon control strategy by minimizing a quadratic performance index under the constraint that the output matches the reference over a suitable number of terminal steps. Both the nonadaptive and an adaptive
D. W. Clarke +2 more
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A DISCRETE PREDICTING CONTROLLER
British Journal of Mathematical and Statistical Psychology, 1967This paper describes an attempt to develop a control device which has some of the characteristics of human processing rather than of the lead‐lag formulations of control theory. The controller's sensory limitations, the way in which it internally represents the behaviour of the system under control, and its control strategy, are described.
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Symbolic Domain Predictive Control
Proceedings of the AAAI Conference on Artificial Intelligence, 2014Planning-based methods to guide switched hybrid systems from an initial state into a desired goal region opens an interesting field for control. The idea of the Domain Predictive Control (DPC) approach is to generate input signals affecting both the numerical states and the modes of the system by stringing together atomic actions to a ...
Johannes Löhr +3 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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Properties of generalized predictive control
Automatica, 1987zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David W. Clarke, C. Mohtadi
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Nonlinear Model Predictive Control: Control and Prediction Horizon
IFAC Proceedings Volumes, 2000Abstract In this paper a new class of Model Predictive control algorithms for nonlinear systems is introduced. A prediction horizon longer than the control horizon is used. It is shown that in this way it is possible to enlarge the domain of attraction and to improve the performance without enlarging the dimension of the optimization space.
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Model Controlled Prediction: A Reciprocal Alternative of Model Predictive Control
IEEE/CAA Journal of Automatica Sinica, 2022Shen Li 0001 +2 more
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