Unified framework of adaptive forgetting identification algorithms for time-varying systems

Author

Zhang Zhiyong ; Wang Shifu ; Fang Chongzhi ; Kang Jingli

Author_Institution

Dept. of Autom., Tsinghua Univ., Beijing, China

Volume

4

fYear

1993

fDate

19-21 Oct. 1993

Firstpage

424

Abstract

This paper presents a unified framework including adaptive forgetting identification algorithms (AFIA) for time-varying systems. This helps in distinguishing between different algorithms and suggests ways in which algorithms might be improved. Through some transformation, this paper gives a complete convergence proof by Lyapunov stability theory in the situation that both exponential forgetting and directional forgetting factors exist.<>

Keywords

Lyapunov methods; adaptive control; convergence of numerical methods; identification; stability; time-varying systems; Lyapunov stability theory; adaptive forgetting identification algorithms; convergence proof; directional forgetting factor; exponential forgetting factor; time-varying systems; unified framework; Adaptive control; Algorithm design and analysis; Automation; Convergence; Least squares approximation; Lyapunov method; Programmable control; Resonance light scattering; Stochastic processes; Time varying systems;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on

Conference_Location

Beijing, China

Print_ISBN

0-7803-1233-3

Type

conf

DOI

10.1109/TENCON.1993.320521

Filename

320521