Output PDF shaping of singular systems: monotonically decreasing performance design

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

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationAdvances in Neural Networks
Subtitle of host publicationISNN 2006
Place of PublicationBerlin
PublisherSpringer
Pages676-682
Number of pages7
Volume3
ISBN (Print)978-3-540-34439-1
DOIs
Publication statusPublished - 17 May 2006
EventInternational Symposium on Neural Networks 2006 - Chengdu, China
Duration: 28 May 20061 Jun 2006

Publication series

NameLecture Notes in computer Science
PublisherSpringer
Volume3971

Conference

ConferenceInternational Symposium on Neural Networks 2006
CountryChina
CityChengdu
Period28/05/061/06/06

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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