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