Higher order neural units for efficient adaptive control of weakly nonlinear systems

Ivo Bukovsky, Jan Voracek, Kei Ichiji, Noriyasu Homma

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

2 Citations (Scopus)

Abstract

The paper reviews the nonlinear polynomial neural architectures (HONUs) and their fundamental supervised batch learning algorithms for both plant identification and neuronal controller training. As a novel contribution to adaptive control with HONUs, Conjugate Gradient batch learning for weakly nonlinear plant identification with HONUs is presented as efficient learning improvement. Further, a straightforward MRAC strategy with efficient controller learning for linear and weakly nonlinear plants is proposed with static HONUs that avoids recurrent computations, and its potentials and limitations with respect to plant nonlinearity are discussed.

Original languageEnglish
Title of host publicationIJCCI 2017 - Proceedings of the 9th International Joint Conference on Computational Intelligence
EditorsKevin Warwick, Juan Julian Merelo, Una-May O'Reilly, Kurosh Madani, Christophe Sabourin
PublisherSciTePress
Pages149-157
Number of pages9
ISBN (Print)9789897582745
Publication statusPublished - 2017 Jan 1
Event9th International Joint Conference on Computational Intelligence, IJCCI 2017 - Funchal, Madeira, Portugal
Duration: 2017 Nov 12017 Nov 3

Publication series

NameIJCCI 2017 - Proceedings of the 9th International Joint Conference on Computational Intelligence

Other

Other9th International Joint Conference on Computational Intelligence, IJCCI 2017
CountryPortugal
CityFunchal, Madeira
Period17/11/117/11/3

Keywords

  • Conjugate Gradient
  • Higher Order Neural Units
  • Model Reference Adaptive Control
  • Nonlinear Dynamical Systems
  • Polynomial Neural Networks

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Software

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  • Cite this

    Bukovsky, I., Voracek, J., Ichiji, K., & Homma, N. (2017). Higher order neural units for efficient adaptive control of weakly nonlinear systems. In K. Warwick, J. J. Merelo, U-M. O'Reilly, K. Madani, & C. Sabourin (Eds.), IJCCI 2017 - Proceedings of the 9th International Joint Conference on Computational Intelligence (pp. 149-157). (IJCCI 2017 - Proceedings of the 9th International Joint Conference on Computational Intelligence). SciTePress.