DocumentCode :
3477772
Title :
Sliding mode mean-square controller design for linear stochastic systems with unknown parameters
Author :
Basin, Michael ; Rodriguez-Ramirez, Pablo
Author_Institution :
Dept. of Phys. & Math. Sci., Autonomous Univ. of Nuevo Leon, San Nicolas de los Garza, Mexico
fYear :
2012
fDate :
12-14 Jan. 2012
Firstpage :
279
Lastpage :
284
Abstract :
This paper presents the sliding mode mean-square controller for linear stochastic systems with unknown parameters. The controller equations are obtained using the separation principle, whose applicability to the considered problem is substantiated. Performance of the obtained controller is verified in the illustrative example against the sliding mode mean-square controller that is optimal for linear systems with known parameters. Simulation graphs demonstrating overall performance and computational accuracy of the designed optimal controller are included.
Keywords :
control system synthesis; linear systems; mean square error methods; optimal control; stochastic systems; variable structure systems; computational accuracy; controller equations; controller verification; linear stochastic systems; optimal controller design; separation principle; simulation graphs; sliding mode mean-square controller design; Cost function; Equations; Linear systems; Mathematical model; Optimal control; Sliding mode control; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Variable Structure Systems (VSS), 2012 12th International Workshop on
Conference_Location :
Mumbai, Maharashtra
ISSN :
2158-3978
Print_ISBN :
978-1-4577-2066-6
Electronic_ISBN :
2158-3978
Type :
conf
DOI :
10.1109/VSS.2012.6163515
Filename :
6163515
Link To Document :
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