Yue, Hong and Wang, Hong (2003) Minimum entropy control of closed loop tracking errors for dynamic stochastic systems. IEEE Transactions on Automatic Control, 48 (1). pp. 118-122. ISSN 0018-9286
Full text not available in this repository. (Request a copy from the Strathclyde author)Official URL: http://dx.doi.org/10.1109/TAC.2002.806663
Abstract
The entropy has been used to characterize the uncertainty of the tracking error for general nonlinear and non-Gaussian stochastic systems. A recursive optimization solution has been developed and the local stability condition of the closed-loop system has been established. The generality of this algorithm has been proved by the special case study of the minimum variance control for linear Gaussian systems.
| Item type: | Article |
|---|---|
| ID code: | 5173 |
| Keywords: | entropy, non-Gaussian, nonlinear, optimization, stochastic, Electrical engineering. Electronics Nuclear engineering |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 16 Jan 2008 |
| Last modified: | 04 Feb 2013 16:06 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/5173 |
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