Title :
Control of saturated linear plants via output feedback containing an internal deadzone loop
Author :
Dai, Dan ; Hu, Tingshu ; Teel, Andrew R. ; Zaccarian, Luca
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA
Abstract :
In this paper we address a LMI-based optimization method for designing output feedback control laws to achieve regional performance and stability of linear control systems with input saturation. Algorithms are developed for minimizing the upper bound on the regional L2 gain for exogenous inputs with L2 norm bounded by a given value, and for minimizing this upper bound with a guaranteed reachable set or domain of attraction. Based on the structure of the optimization problems, using the projection lemma, the output feedback controller synthesis is cast as a convex optimization over linear matrix inequalities. The problems are studied in a general setting where the only requirement on the linear plant is detectability and stabilizability
Keywords :
control nonlinearities; control system synthesis; convex programming; feedback; linear matrix inequalities; linear systems; stability; LMI-based optimization; convex optimization; input saturation; internal deadzone loop; linear control systems stability; linear matrix inequalities; output feedback control; output feedback controller synthesis; projection lemma; reachable set; regional L2 gain; saturated linear plants; upper bounds; Asymptotic stability; Control systems; Design methodology; Feedback loop; Linear feedback control systems; Linear matrix inequalities; Optimization methods; Output feedback; Signal design; Upper bound;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
DOI :
10.1109/ACC.2006.1657555