Suboptimal Explicit Receding Horizon Control via Approximate Multiparametric Quadratic Programming

Algorithms for solving multiparametric quadratic programming (MPQP) were recently proposed in Refs. 1-2 for computing explicit receding horizon control (RHC) laws for linear systems subject to linear constraints on input and state variables. The reason for this interest is that the solution to MPQP...

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Veröffentlicht in:	Journal of optimization theory and applications Jg. 117; H. 1; S. 9 - 38
Hauptverfasser:	Bemporad, A., Filippi, C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY Springer 01.04.2003 Springer Nature B.V
Schlagworte:	Applied sciences Computer science; control theory; systems Control algorithms Control system synthesis Control theory. Systems Controllers Exact sciences and technology Mathematical programming Operational research and scientific management Operational research. Management science Optimization Quadratic programming Receding horizon control model predictive control multiparametric programming convex quadratic programming piecewise linear control error bounds
ISSN:	0022-3239, 1573-2878
Online-Zugang:	Volltext
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