DocumentCode :
321318
Title :
Optimal induced l1-norm state feedback control
Author :
Yu, Jie ; Sideris, Athanasios
Author_Institution :
Dept. of Mech. & Aerosp. Eng., California Univ., Irvine, CA, USA
Volume :
2
fYear :
1997
fDate :
10-12 Dec 1997
Firstpage :
1558
Abstract :
This paper considers state feedback control for linear discrete-time systems to minimize the closed loop l1 induced norm. A generalized bounded real inequality (GBRI) is presented as a sufficient condition to establish a norm bound. Using an algorithm similar to the invariant kernel algorithm and the contractive set algorithm, state feedback synthesis to satisfy GBRI is reduced to a linear programming problem and is numerically tractable. If the problem is feasible, our algorithm gives a polyhedral set that induces a closed loop Lyapunov function and also provides feasible control laws. An example is given for which the optimal l1-induced norm achievable by a linear controller is actually achieved by the proposed synthesis approach
Keywords :
Lyapunov methods; algebra; closed loop systems; control system synthesis; discrete time systems; linear programming; linear systems; state feedback; closed loop Lyapunov function; closed loop l1 induced norm; contractive set algorithm; feasible control laws; generalized bounded real inequality; invariant kernel algorithm; linear discrete-time systems; linear programming problem; norm bound; optimal induced l1-norm state feedback control; state feedback synthesis; sufficient condition; Control system synthesis; Control systems; Kernel; Linear feedback control systems; Linear programming; Lyapunov method; Optimal control; State feedback; Sufficient conditions; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
ISSN :
0191-2216
Print_ISBN :
0-7803-4187-2
Type :
conf
DOI :
10.1109/CDC.1997.657709
Filename :
657709
Link To Document :
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