Receding horizon regional pole placement of uncertain discrete systems

A new approach for robust receding horizon control synthesis is proposed, which combines receding horizon strategy with robust quadratic d-stabilization, to solve receding horizon regional pole placement problems of structure perturbed discrete systems. The resulting time varying state feedback cont...

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Bibliographic Details
Published inProceedings of the 2001 American Control Conference. (Cat. No.01CH37148) Vol. 2; pp. 1687 - 1688 vol.2
Main Authors Maying Yang, Li Yu
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Closed loop systems
Control systems
Linear matrix inequalities
Lyapunov method
Optimal control
Predictive control
Robust control
Robust stability
State feedback
Uncertain systems
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Summary:A new approach for robust receding horizon control synthesis is proposed, which combines receding horizon strategy with robust quadratic d-stabilization, to solve receding horizon regional pole placement problems of structure perturbed discrete systems. The resulting time varying state feedback control law minimizes, at each sample time, an upper bound on the Lyapunov function, subject to quadratic d-stabilization inequalities. It is shown through examples that the feasible receding horizon state-feedback control design robustly stabilizes the disturbed uncertain system, and the performance is better than quadratic d-stabilization.
ISBN:9780780364950
0780364953
ISSN:0743-1619
2378-5861
DOI:10.1109/ACC.2001.945972