Adaptive control and stability analysis of nonlinear systems using neural networks

Osamu Yamanaka, Naoto Yoshizawa, Hiromitsu Ohmori, Akira Sano

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

5 Citations (Scopus)

Abstract

This paper is concerned with neural-network (NN)-based adaptive control schemes for a class of nonlinear system which includes a finite Volterra series system and a Wiener system. First, introducing a new kind of dynamic neural network which consists of Laguerre filters and memoryless nonlinear elements, a model reference adaptive control (MRAC) scheme is presented for the nonlinear systems. In the proposed MRAC system adopting overparameterization and a robust adaptive algorithm, the boundedness of the estimated parameters is assured under some conditions. Second, an adaptive linearization scheme for Wiener systems with nonlinearity in their output part is realized by using a kind of functional-link network. It is shown that the obtained controller has a structure similar to the MRAC and then the boundedness of the estimated parameters as well as that of all the signals in the closed loop are also ensured. Finally, the effectiveness of the proposed schemes is illustrated through numerical simulations.

Original languageEnglish
Title of host publication1997 IEEE International Conference on Neural Networks, ICNN 1997
Pages2424-2429
Number of pages6
DOIs
Publication statusPublished - 1997 Dec 1
Event1997 IEEE International Conference on Neural Networks, ICNN 1997 - Houston, TX, United States
Duration: 1997 Jun 91997 Jun 12

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
Volume4
ISSN (Print)1098-7576

Conference

Conference1997 IEEE International Conference on Neural Networks, ICNN 1997
CountryUnited States
CityHouston, TX
Period97/6/997/6/12

ASJC Scopus subject areas

  • Software

Fingerprint Dive into the research topics of 'Adaptive control and stability analysis of nonlinear systems using neural networks'. Together they form a unique fingerprint.

  • Cite this

    Yamanaka, O., Yoshizawa, N., Ohmori, H., & Sano, A. (1997). Adaptive control and stability analysis of nonlinear systems using neural networks. In 1997 IEEE International Conference on Neural Networks, ICNN 1997 (pp. 2424-2429). [614450] (IEEE International Conference on Neural Networks - Conference Proceedings; Vol. 4). https://doi.org/10.1109/ICNN.1997.614450