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 new 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 publicationIEEE International Conference on Neural Networks - Conference Proceedings
PublisherIEEE
Pages2424-2429
Number of pages6
Volume4
Publication statusPublished - 1997
EventProceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4) - Houston, TX, USA
Duration: 1997 Jun 91997 Jun 12

Other

OtherProceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4)
CityHouston, TX, USA
Period97/6/997/6/12

Fingerprint

Model reference adaptive control
Nonlinear systems
Neural networks
Adaptive control systems
Adaptive algorithms
Linearization
Controllers
Computer simulation

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence

Cite this

Yamanaka, O., Yoshizawa, N., Ohmori, H., & Sano, A. (1997). Adaptive control and stability analysis of nonlinear systems using neural networks. In IEEE International Conference on Neural Networks - Conference Proceedings (Vol. 4, pp. 2424-2429). IEEE.

Adaptive control and stability analysis of nonlinear systems using neural networks. / Yamanaka, Osamu; Yoshizawa, Naoto; Ohmori, Hiromitsu; Sano, Akira.

IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 4 IEEE, 1997. p. 2424-2429.

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

Yamanaka, O, Yoshizawa, N, Ohmori, H & Sano, A 1997, Adaptive control and stability analysis of nonlinear systems using neural networks. in IEEE International Conference on Neural Networks - Conference Proceedings. vol. 4, IEEE, pp. 2424-2429, Proceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4), Houston, TX, USA, 97/6/9.
Yamanaka O, Yoshizawa N, Ohmori H, Sano A. Adaptive control and stability analysis of nonlinear systems using neural networks. In IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 4. IEEE. 1997. p. 2424-2429
Yamanaka, Osamu ; Yoshizawa, Naoto ; Ohmori, Hiromitsu ; Sano, Akira. / Adaptive control and stability analysis of nonlinear systems using neural networks. IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 4 IEEE, 1997. pp. 2424-2429
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