DocumentCode :
306274
Title :
On self-tuning control of nonminimum phase discrete-time stochastic systems
Author :
Shafiq, Muhammad ; Lu, Jianining ; Yahagi, Takashi
Author_Institution :
Dept. of Inf. & Comput. Sci., Chiba Univ., Japan
Volume :
1
fYear :
1996
fDate :
5-10 Aug 1996
Firstpage :
340
Abstract :
This paper presents a new method for the self-tuning control of nonminimum phase discrete-time stochastic systems using approximate inverse systems obtained from the least-squares approximation. Using this approximate inverse system the gain response of the system can be made approximately unity and phase response exactly zero. This approximate inverse system can be used in the same manner for both minimum and nonminimum phase systems. Moreover, the order of the feedback controller does not depend upon the approximate inverse system. We just need an extra FIR filter in the feedforward path. There exists no unstable pole-zero cancellation in the system, but the effect of the unstable zeros can be cancelled approximately. Finally, several computer simulation results are presented to illustrate the effectiveness of the proposed method
Keywords :
discrete time systems; feedback; feedforward; least squares approximations; poles and zeros; self-adjusting systems; stochastic systems; FIR filter; approximate inverse systems; feedback controller; feedforward path; gain response; least-squares approximation; minimum phase systems; nonminimum phase discrete-time stochastic systems; self-tuning control; unstable zeros cancellation; Adaptive control; Computational modeling; Control systems; Delay effects; Finite impulse response filter; Poles and zeros; Polynomials; Stability analysis; Stochastic systems; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
Type :
conf
DOI :
10.1109/IECON.1996.570975
Filename :
570975
Link To Document :
بازگشت