New nonlinear system control method using second order derivatives of Universal Learning Network

Kotaro Hirasawa, Masanao Ohbayashi, Masayuki Hashimoto, Takayuki Furuzuki, Junichi Murata

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

Abstract

Recently Universal Learning Networks (ULNs) have been proposed, which are a super set of any kinds of supervised learning networks. One of the important features of the ULNs is that the ULNs have a systematic algorithm for calculating higher order derivatives of the criterion function with respect to parameters. And a robust control method and chaos control method using the second order derivatives of the ULNs have been proposed. In this paper, a new control design method of the nonlinear systems is proposed, which is an extension of the above robust control method in terms of considering not only the stability but also the quick response of the systems.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Editors Anon
PublisherIEEE
Pages3775-3780
Number of pages6
Volume4
Publication statusPublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - San Diego, CA, USA
Duration: 1998 Oct 111998 Oct 14

Other

OtherProceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5)
CitySan Diego, CA, USA
Period98/10/1198/10/14

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ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Hirasawa, K., Ohbayashi, M., Hashimoto, M., Furuzuki, T., & Murata, J. (1998). New nonlinear system control method using second order derivatives of Universal Learning Network. In Anon (Ed.), Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 4, pp. 3775-3780). IEEE.