Title :
An identification method for a class of linear time-varying systems
Author :
Feng, Chun-Bo ; Yin, Bin
Author_Institution :
Res. Inst. of Autom., Southeast Univ., Nanjing, China
Abstract :
A method for identifying TV systems is proposed, which is based on making use of time-variation characteristics of system parameters. By preprocessing the original system, we transform the identification for TV systems into that for piecewise TI systems. The boundedness of this algorithm is discussed and simulation results show its good tracking ability
Keywords :
identification; linear systems; time-varying systems; boundedness; identification method; linear time-varying systems; piecewise time invariant systems; time-variation characteristics; tracking ability; Algorithm design and analysis; Differential equations; Kalman filters; Parameter estimation; Polynomials; Stochastic resonance; TV; Tellurium; Time varying systems; White noise;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.688357