Output PDF shaping of singular weights system: Monotonical performance design

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

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. © Springer-Verlag Berlin Heidelberg 2006.

Cite

CITATION STYLE

APA

Yue, H., Leprand, A. J. A., & Wang, H. (2006). Output PDF shaping of singular weights system: Monotonical performance design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3971 LNCS, pp. 676–682). Springer Verlag. https://doi.org/10.1007/11759966_99

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free