DocumentCode :
1889860
Title :
Direct adaptive control design for reachable linear discrete-time uncertain systems
Author :
Fu, S.H. ; Cheng, C.-C.
Author_Institution :
Dept. of Mechanical & Electro-Mechanical Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Volume :
3
fYear :
2003
fDate :
16-20 July 2003
Firstpage :
1306
Abstract :
In this paper, we develop a direct adaptive control framework for MIMO linear uncertain systems. The proposed adaptive controller addresses adaptive stabilization while under the reachability assumption. The method can be easily extended to the system with bounded exogenous disturbances and ℓ2 disturbances, where the disturbance rejection can be addressed. The framework is Lyapunov-based and the adaptive laws are characterized by Kronecker calculus. Finally, several numerical examples are provided to demonstrate the efficacy of the proposed framework.
Keywords :
Lyapunov methods; MIMO systems; adaptive control; asymptotic stability; closed loop systems; control system synthesis; discrete time systems; feedback; iterative methods; linear systems; matrix algebra; reachability analysis; uncertain systems; Kronecker calculus; Lyapunov-based approach; MIMO linear uncertain systems; Sylvester equation; adaptive stabilization; asymptotic stability; closed-loop system; direct adaptive control design; disturbance rejection; exogenous disturbances; feedback gain; iteration methods; l2 disturbances; linear discrete-time uncertain systems; multiple input multiple output; reachability assumption; zero solution; Adaptive control; Adaptive systems; Control systems; Linear systems; MIMO; Neural networks; Parameter estimation; Programmable control; Stability; Uncertain systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7866-0
Type :
conf
DOI :
10.1109/CIRA.2003.1222185
Filename :
1222185
Link To Document :
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