Kabore, P. and Baki, H. and Yue, H. and Wang, H. (2005) Linearized controller design for the output probability density functions of non-Gaussian stochastic systems. International Journal of Automation and Computing, 2 (1). pp. 67-74.
Full text not available in this repository. (Request a copy from the Strathclyde author)Abstract
This paper presents a linearized approach for the controller design of the shape of output probability density functions for general stochastic systems. A square root approximation to an output probability density function is realized by a set of B-spline functions. This generally produces a nonlinear state space model for the weights of the B-spline approximation. A linearized model is therefore obtained and embedded into a performance function that measures the tracking error of the output probability density function with respect to a given distribution. By using this performance function as a Lyapunov function for the closed loop system, a feedback control input has been obtained which guarantees closed loop stability and realizes perfect tracking. The algorithm described in this paper has been tested on a simulated example and desired results have been achieved.
| Item type: | Article |
|---|---|
| ID code: | 36509 |
| Keywords: | probability density function , lyapunov stability theory , B-splines neural networks, dynamic stochastic systems, Electrical engineering. Electronics Nuclear engineering |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering |
| Related URLs: | |
| Depositing user: | Pure Administrator |
| Date Deposited: | 20 Dec 2011 11:30 |
| Last modified: | 05 Feb 2013 09:58 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/36509 |
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