DocumentCode :
323420
Title :
The optimal adaptive controllers based on input matching of multivariable deterministic system
Author :
Guangsheng, Liu ; Xia, Lu ; Xin, Guan
Author_Institution :
Adult Educ. Inst., Northeast China Inst. of Electr. Power, Jilin City, China
Volume :
1
fYear :
1997
fDate :
28-31 Oct 1997
Firstpage :
718
Abstract :
This paper discusses a design method for optimal self-tuning controllers based on input matching of deterministic systems. The convergence of parameter estimation is proved and the optimal self-tuning control converges to one-step-ahead control. The results of computer simulations show that the method of parameter estimation and control design are successful
Keywords :
adaptive control; control system synthesis; convergence; multivariable control systems; optimal control; parameter estimation; self-adjusting systems; computer simulations; controller design method; convergence; input matching; multivariable deterministic system; one-step-ahead control; optimal adaptive controllers; optimal self-tuning controllers; parameter estimation; Adaptive control; Computer simulation; Control design; Control systems; Convergence; Design methodology; Impedance matching; Optimal control; Parameter estimation; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
Type :
conf
DOI :
10.1109/ICIPS.1997.672881
Filename :
672881
Link To Document :
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