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

Kotaro Hirasawa; Masanao Ohbayashi; Masayuki Hashimoto; Jinglu Hu; Junichi Murata

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

Kotaro Hirasawa, Masanao Ohbayashi, Masayuki Hashimoto, Jinglu Hu, Junichi Murata

Section of Measurement and Control Engineering

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	3775-3780
Number of pages	6
Journal	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume	4
Publication status	Published - Dec 1 1998
Event	Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - San Diego, CA, USA Duration: Oct 11 1998 → Oct 14 1998

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Hardware and Architecture

Cite this

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title = "New nonlinear system control method using second order derivatives of Universal Learning Network",

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.",

author = "Kotaro Hirasawa and Masanao Ohbayashi and Masayuki Hashimoto and Jinglu Hu and Junichi Murata",

year = "1998",

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day = "1",

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volume = "4",

pages = "3775--3780",

journal = "Proceedings of the IEEE International Conference on Systems, Man and Cybernetics",

issn = "0884-3627",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) ; Conference date: 11-10-1998 Through 14-10-1998",

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TY - JOUR

T1 - New nonlinear system control method using second order derivatives of Universal Learning Network

AU - Hirasawa, Kotaro

AU - Ohbayashi, Masanao

AU - Hashimoto, Masayuki

AU - Hu, Jinglu

AU - Murata, Junichi

PY - 1998/12/1

Y1 - 1998/12/1

N2 - 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.

AB - 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.

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M3 - Conference article

AN - SCOPUS:0032310773

VL - 4

SP - 3775

EP - 3780

JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

SN - 0884-3627

T2 - Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5)

Y2 - 11 October 1998 through 14 October 1998

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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