Chaos control on Universal Learning Network

Masaru Koga; Kotaro Hirasawa; Junichi Murata; Masanao Ohbayashi

Chaos control on Universal Learning Network

Masaru Koga, Kotaro Hirasawa, Junichi Murata, Masanao Ohbayashi

Section of Measurement and Control Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

A method is proposed for controlling chaotic phenomena on Universal Learning Network (U.L.N.). Generation and die-out of chaotic phenomena are realized by changing Lyapunov Number of U.L.N. to positive and negative value respectively, 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.

Original language	English
Pages (from-to)	15-33
Number of pages	19
Journal	Memoirs of the Kyushu University, Faculty of Engineering
Volume	56
Issue number	1
Publication status	Published - Mar 1 1996

All Science Journal Classification (ASJC) codes

Energy(all)
Atmospheric Science
Earth and Planetary Sciences(all)
Management of Technology and Innovation

Cite this

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AB - A method is proposed for controlling chaotic phenomena on Universal Learning Network (U.L.N.). Generation and die-out of chaotic phenomena are realized by changing Lyapunov Number of U.L.N. to positive and negative value respectively, 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.

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Chaos control on Universal Learning Network

Abstract

All Science Journal Classification (ASJC) codes

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