Chaos control on Universal Learning Network

Masaru Koga, Kotaro Hirasawa, Junichi Murata, Masanao Ohbayashi

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Pages (from-to)15-33
Number of pages19
JournalMemoirs of the Kyushu University, Faculty of Engineering
Issue number1
Publication statusPublished - Mar 1996

All Science Journal Classification (ASJC) codes

  • General Energy
  • Atmospheric Science
  • General Earth and Planetary Sciences
  • Management of Technology and Innovation


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