DocumentCode :
2030298
Title :
Simplified adaptive fuzzy decentralized regulation for uncertain large-scale nonlinear delayed systems
Author :
Guo, Tao ; Ping, Jing
Author_Institution :
Sch. of Comput. & Inf. Eng., Anyang Normal Univ., Anyang, China
Volume :
2
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
726
Lastpage :
730
Abstract :
A novel adaptive fuzzy decentralized regulation approach is proposed for a class of output-feedback large-scale nonlinear systems with unknown time-varying time-delays and interconnections. Each subsystem is needed only one fuzzy approximator, so the number of employed approximators equal to the number of subsystems of the whole large-scale systems. This is different from the existing results, which are used to employ much more than one approximators in each subsystem. Both the observer and the controller are independent of the unknown time delay. It is proved that the proposed design approach is able to guarantee semi-global uniform ultimate boundedness (SGUUB) of all signals in the closed-loop system, with arbitrary small error by appropriately choosing design constants.
Keywords :
adaptive control; decentralised control; delays; feedback; fuzzy control; large-scale systems; nonlinear control systems; time-varying systems; uncertain systems; SGUUB; fuzzy approximator; semi global uniform ultimate boundedness; simplified adaptive fuzzy decentralized regulation; time-varying time-delays; uncertain large scale nonlinear delayed systems; Adaptive systems; Approximation error; Backstepping; Delay; Nonlinear systems; Observers; Adaptive; backstepping; decentralized control; fuzzy logic system; time-delay systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
Type :
conf
DOI :
10.1109/FSKD.2010.5569379
Filename :
5569379
Link To Document :
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