DocumentCode :
706839
Title :
Application of true linearization in stochastic quasi-optimal control problems
Author :
Socha, L.A.
Author_Institution :
Inst. of Transp., Silesian Tech. Univ., Katowice, Poland
fYear :
1999
fDate :
Aug. 31 1999-Sept. 3 1999
Firstpage :
2992
Lastpage :
2997
Abstract :
The problem of quasi-optimal linear feedback control laws for nonlinear systems with quadratic performance criteria under Gaussian white noise excitations is considered. To determine the quasi-optimal control a modified version of standard iterative procedure is used, where three versions of statistical linearization methods and true linearization method were combined with the optimal control method for linear systems with the mean-square criterion. The validity of this method is shown by analytical and numerical calculations for examples.
Keywords :
feedback; iterative methods; linear systems; linearisation techniques; nonlinear control systems; optimal control; statistical analysis; stochastic systems; Gaussian white noise excitations; linear systems; mean-square criterion; nonlinear systems; quadratic performance criteria; quasi-optimal linear feedback control law problem; standard iterative procedure; statistical linearization methods; stochastic quasi-optimal control problems; true linearization method; Lead; Optimized production technology; Random vibrations; linearization techniques; optimal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
Type :
conf
Filename :
7099784
Link To Document :
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