Adaptive variable structure control of MIMO nonlinear time-delay systems with unknown dead-zones and known gain signs

Author

Tianping, Zhang ; Caiying, Zhou ; Yuequan, Yang ; Houbin, Qian

Author_Institution

Dept. of Autom., Yangzhou Univ., Yangzhou

fYear

2008

fDate

16-18 July 2008

Firstpage

175

Lastpage

179

Abstract

In this paper, adaptive variable structure neural control is presented for a class of uncertain multi-input multi-output (MIMO) nonlinear time-delay systems with unknown nonlinear dead-zones and known gain signs. The unknown time-varying delay uncertainties are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. By utilizing the integral-type Lyapunov function and constructing approximated continuous functions, the closed-loop control system is proved to be semi-globally uniformly ultimately bounded.

Keywords

Lyapunov methods; MIMO systems; adaptive control; closed loop systems; continuous systems; delay systems; neurocontrollers; nonlinear control systems; uncertain systems; variable structure systems; Lyapunov-Krasovskii functionals; MIMO nonlinear system; adaptive variable structure neural control; approximated continuous functions; closed-loop control system; integral-type Lyapunov function; known gain signs; multi-input multi-output systems; time-delay systems; time-varying delay uncertainties; unknown dead-zones; Adaptive control; Control systems; Delay; MIMO; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Time varying systems; Uncertainty; Adaptive Control; Dead-Zone; Neural Networks; Time-Delays; Variable Structure Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605585

Filename

4605585