A new approach to stability analysis of systems with state delay

Author

Jie Wu

Author_Institution

Coll. of Mechatron. & Control Eng., Hubei Normal Univ., Huangshi, China

fYear

2011

fDate

3-5 Aug. 2011

Firstpage

278

Lastpage

280

Abstract

The close loop P type iterative learning control is proposed for systems with state delay in this paper. The design procedure is based upon obtaining the sufficient condition of convergence by Lyapunov theory, an iterative learning law is obtained by resolving linear matrix inequalities (LMI). The proposed method is more easily realized and strong practical. The scheme proposed guarantees that the tracking error converges to a pre-specified error bound after finite iterations. Finally the simulation results show the effectiveness and feasibility of the proposed algorithm.

Keywords

closed loop systems; control system synthesis; delays; iterative methods; learning systems; linear matrix inequalities; stability; Lyapunov theory; close loop P type iterative learning control; design procedure; iterative learning law; linear matrix inequalities; stability analysis; state delay; Algorithm design and analysis; Convergence; Delay; Iterative methods; Polymers; Resins; Robustness; Iterative learning control; Lyapunov theory; Time-delay; convergence;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2011 6th International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-9717-1

Type

conf

DOI

10.1109/ICCSE.2011.6028634

Filename

6028634