Title :
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
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;
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
DOI :
10.1109/TENCON.1993.320521
