Iterative learning control design on nonlinear time-delay systems

Author

Zhan Xisheng

Author_Institution

Dept. of Control Sci. & Eng., Hubei Normal Univ., Huangshi, China

fYear

2010

fDate

29-31 July 2010

Firstpage

2107

Lastpage

2110

Abstract

A robust iterative learning control algorithm is proposed based on T-S model for a kind of nonlinear time-delay systems with repetitive actions. Firstly, the proposed algorithm uses fuzzy T-S model to build the model for nonlinear time-delay system, secondly, the global fuzzy system model could be described as the form of uncertain systems, finally, the robust iterative learning controller is designed through resolving Riccati equation. The sufficient and essential condition of the algorithm is deduced based on Lyapunov theories for nonlinear time-delay system.

Keywords

Lyapunov methods; Riccati equations; control system synthesis; delays; fuzzy control; iterative methods; learning systems; nonlinear control systems; uncertain systems; Lyapunov theories; Riccati equation; fuzzy T-S model; global fuzzy system model; nonlinear time-delay systems; robust iterative learning control algorithm; uncertain systems; Adaptation model; Algorithm design and analysis; Iterative algorithm; Mathematical model; Robustness; Symmetric matrices; Uncertain systems; Iterative Learning Control; Nonlinear Time-Delay System; Robust Control; T-S Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2010 29th Chinese

Conference_Location

Beijing

Print_ISBN

978-1-4244-6263-6

Type

conf

Filename

5573735