Chaos control using second order derivatives of universal learning network

Masaru Koga, Kotaro Hirasawa, Junichi Murata, Masanao Ohbayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

A method is proposed for controlling chaotic phenomena on Universal Learning Network (U.L.N.). The chaos control method proposed here is a novel one. Generation and die-out of chaotic phenomena are controlled by changing Lyapunov Number of U.L.N., which is accomplished by adjusting U.L.N. parameters so as to minimize a criterion function that is the difference between the desired Lyapunov Number and its actual value. Both a gradient method utilizing second order derivatives of U.L.N. and a random search method are adopted to optimize the parameters. Control of generation and die-out of chaotic phenomena are easily realized in simulations.

Original languageEnglish
Title of host publicationIEEE International Conference on Neural Networks - Conference Proceedings
PublisherIEEE
Pages1287-1292
Number of pages6
Volume3
Publication statusPublished - 1995
EventProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust
Duration: Nov 27 1995Dec 1 1995

Other

OtherProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)
CityPerth, Aust
Period11/27/9512/1/95

All Science Journal Classification (ASJC) codes

  • Software

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