DocumentCode :
3011041
Title :
Performance analysis of piecewise linear systems and model predictive control systems
Author :
Bemporad, A. ; Torris, F.D. ; Morari, M.
Author_Institution :
Autom. Control Lab., Swiss Federal Inst. of Technol., Switzerland
Volume :
5
fYear :
2000
fDate :
2000
Firstpage :
4957
Abstract :
Bemporad and Morari (1999) provided a tool for obtaining the explicit solution of constrained model predictive control (MPG) problems by showing that the control law is a continuous piecewise affine (PWA) function of the state vector. Therefore, the feedback interconnection between the MPC controller and a linear system, or a PWA system (e.g., a PWA approximation of a nonlinear system), is a PWA system. For discrete-time PWA and hybrid systems, the present authors (2000) presented an algorithm for verification/reachability analysis. In this paper, we formulate the performance analysis problem of closed-loop PWA systems (including MPC feedback loops where the prediction model and the plant model could be different) as a reachability analysis problem, and use our algorithm to obtain a tool for characterizing (i) the set of states for which the evolution is feasible, (ii) the domain of stability, (iii) the performance of the closed-loop
Keywords :
control system analysis; feedback; linear systems; predictive control; reachability analysis; stability; continuous piecewise affine function; feedback interconnection; feedback loops; hybrid systems; model predictive control systems; performance analysis; piecewise linear systems; plant model; prediction model; reachability analysis problem; stability domain; Control systems; Linear feedback control systems; Linear systems; Nonlinear control systems; Performance analysis; Piecewise linear techniques; Predictive control; Predictive models; Reachability analysis; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
ISSN :
0191-2216
Print_ISBN :
0-7803-6638-7
Type :
conf
DOI :
10.1109/CDC.2001.914718
Filename :
914718
Link To Document :
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