Zhou, J. and Yue, H. and Wang, H. (2005) Mean and entropy of b-spline PDF models: analysis and design. In: 16th IFAC World Congress, 2005, 2005-07-04 - 2005-07-08, Prague.
Full text not available in this repository. (Request a copy from the Strathclyde author)Abstract
For continuous probability density functions (PDFs) approximated by the B-spline basis functions, the relationships between the B-spline weights, the entropy and the mean have been analyzed in detail. It shows the different characteristics of the entropy with and without mean constraint. A minimum entropy controller subjected to mean constraint is developed by taking the performance function as a Lyapunov function and ensuring the negativeness of its first-order derivative. Simulation examples are included to validate the analysis results and evaluate the closed-loop control performance.
| Item type: | Conference or Workshop Item (Paper) |
|---|---|
| ID code: | 38055 |
| Keywords: | dynamic stochastic systems, probability density function (PDF), B-spline neural network, minimum entropy, mean constraint, 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: | 01 Mar 2012 12:52 |
| Last modified: | 04 Oct 2012 17:25 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/38055 |
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