Output PDF shaping of singular systems: monotonically decreasing performance design

H. Yue; Aurelie J.A. Leprand; Hong Wang

doi:10.1007/11759966_99

Output PDF shaping of singular systems: monotonically decreasing performance design

H. Yue, Aurelie J.A. Leprand, Hong Wang

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

For a group of stochastic systems whose output probability density function (PDF) is modelled by the B-spline neural networks with singular weights dynamics, the output PDF is controlled towards the desired PDF by an innovative optimization design with monotonically decreasing performance. The controller is developed based on the transformed equivalent non-singular system with sufficient conditions given for the monotonic performance.

Original language	English
Title of host publication	Advances in Neural Networks
Subtitle of host publication	ISNN 2006
Place of Publication	Berlin
Publisher	Springer
Pages	676-682
Number of pages	7
Volume	3
ISBN (Print)	978-3-540-34439-1
DOIs	https://doi.org/10.1007/11759966_99
Publication status	Published - 17 May 2006
Event	International Symposium on Neural Networks 2006 - Chengdu, China Duration: 28 May 2006 → 1 Jun 2006

Publication series

Name	Lecture Notes in computer Science
Publisher	Springer
Volume	3971

Conference

Conference	International Symposium on Neural Networks 2006
Country	China
City	Chengdu
Period	28/05/06 → 1/06/06

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Keywords

pdf
singular systems

Cite this

Yue, H., Leprand, A. J. A., & Wang, H. (2006). Output PDF shaping of singular systems: monotonically decreasing performance design. In Advances in Neural Networks: ISNN 2006 (Vol. 3, pp. 676-682). (Lecture Notes in computer Science; Vol. 3971). Berlin: Springer. https://doi.org/10.1007/11759966_99

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Access to Document

10.1007/11759966_99