Output PDF shaping of singular systems: monotonical performance design

Hong 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 publicationInternational Symposium on Neural Networks
Subtitle of host publicationAdvances in Neural Networks - ISNN 2006
EditorsJun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin
Place of PublicationBerlin
PublisherSpringer
Pages676-682
Number of pages7
Volume3971
ISBN (Print)9783540344391
DOIs
Publication statusPublished - 2006

Publication series

NameLecture Notes in Computer Science (LNCS)
PublisherSpringer
Volume3971

Keywords

  • singular weights system
  • monotonical performance design
  • probability density function (PDF)
  • B-spline neural networks

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