Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4975381 | Journal of the Franklin Institute | 2014 | 18 Pages |
Abstract
This paper presents the sliding mode mean-square and mean-module controllers for linear stochastic systems with unknown parameters. In both cases, the controller equations are obtained using the separation principle, whose applicability to the considered problem is substantiated. Performance of the obtained controllers is verified in the illustrative example against the sliding mode mean-square and sliding mode controllers that are optimal for linear systems with known parameters. Simulation graphs demonstrating overall performance and computational accuracy of the designed optimal controller are included.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Michael Basin, Pablo Rodriguez-Ramirez,