Adaptive Fuzzy Decentralized Control for a Class of Uncertain Large-Scale Time-Delay Nonlinear Systems

Author

Guo, Tao ; Zhang, Jun-Ying

Author_Institution

Comput. Sci. Sch., XiDian Univ., Xi´´An

Volume

5

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

55

Lastpage

59

Abstract

In this paper, adaptive fuzzy decentralized control is presented for a class of uncertain large-scale time-delay nonlinear systems. By employing the fuzzy logic systems and the technique of delay replacement, the iterative backstep- ping design approach can be carried out, and the common restrictions of the unknown delay signals and the unknown interconnections are removed. Furthermore, the designed fuzzy decentralized controller is memoryless. It is proved that all the signals in the closed-loop systems are semi- globally uniformly ultimately bounded (SGUUB), and the tracking error is proven to converge to a small neighborhood of the origin.

Keywords

adaptive control; closed loop systems; control system synthesis; decentralised control; delays; fuzzy control; iterative methods; nonlinear control systems; uncertain systems; adaptive fuzzy decentralized control; closed-loop systems; delay replacement; fuzzy logic systems; iterative backstepping design approach; semiglobally uniformly ultimately bounded; uncertain large-scale time-delay nonlinear systems; Adaptive control; Delay; Distributed control; Fuzzy control; Fuzzy logic; Fuzzy systems; Iterative methods; Large-scale systems; Nonlinear systems; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Jinan Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.167

Filename

4666495