A new control method of nonlinear systems based on impulse responses of universal learning networks

Kotaro Hirasawa, Jinglu Hu, Junichi Murata, Chunzhi Jin

研究成果: Contribution to journalArticle査読

3 被引用数 (Scopus)

抄録

A new control method of nonlinear dynamic systems is proposed based on the impulse responses of universal learning networks (ULNs). ULNs form a superset of neural networks. They consist of a number of interconnected nodes where the nodes may have any continuously differentiable nonlinear functions in them and each pair of nodes can be connected by multiple branches with arbitrary time delays. A generalized learning algorithm is derived for the ULNs, in which both the first order derivatives (gradients) and the higher order derivatives are incorporated. One of the distinguished features of the proposed control method is that the impulse response of the systems is considered as an extended part of the criterion function and it can be calculated by using the higher order derivatives of ULNs. By using the impulse response as the criterion function, nonlinear dynamics with not only quick response but also quick damping and small steady state error can be more easily obtained than the conventional nonlinear control systems with quadratic form criterion functions of state and control variables.

本文言語英語
ページ(範囲)362-372
ページ数11
ジャーナルIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
31
3
DOI
出版ステータス出版済み - 6 2001

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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