کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
394319 | 665791 | 2012 | 10 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Mean-square data-based controller for nonlinear polynomial systems with multiplicative noise Mean-square data-based controller for nonlinear polynomial systems with multiplicative noise](/preview/png/394319.png)
This paper presents the mean-square optimal data-based quadratic-Gaussian controller for stochastic nonlinear polynomial systems with a polynomial multiplicative noise, a linear control input, and a quadratic criterion over linear observations. The mean-square optimal closed-form controller equations are obtained using the separation principle, whose applicability to the considered problem is substantiated. As an intermediate result, the paper gives a closed-form solution of the optimal regulator (control) problem for stochastic nonlinear polynomial systems with a polynomial multiplicative noise, a linear control input, and a quadratic criterion. Performance of the obtained mean-square optimal data-based controller is verified in the illustrative example against the conventional LQG controller that is optimal for linearized systems. Simulation graphs demonstrating overall performance and computational accuracy of the designed optimal controller are included.
Journal: Information Sciences - Volume 195, 15 July 2012, Pages 256–265