Time-efficient structure for observer-based direct/indirect fuzzy-neural controller

Wei-Yen Wang, Yi Hsing Chien, Cheng Kai Yang, Tsu Tian Lee

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

Abstract

This paper proposes a novel method for robust adaptive control of a class of nonlinear systems by using the proposed observer-based direct/indirect fuzzy-neural controller. Using a conventional fuzzy-neural network (FNN) encounters a seriously problem of the computation parameter explosion which leads to a huge computation time during the process of a high dimensional system. The proposed adaptive control scheme using the hybrid direct/indirect fuzzy-neural controller guarantees that the outputs of the closed-loop system asymptotically track the desired output trajectories. Finally, simulation results are presented to confirm the effectiveness and applicability of the proposed method.

Original languageEnglish
Title of host publication2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013
Pages404-408
Number of pages5
DOIs
Publication statusPublished - 2013 Aug 14
Event2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013 - Evry, France
Duration: 2013 Apr 102013 Apr 12

Publication series

Name2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013

Other

Other2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013
CountryFrance
CityEvry
Period13/4/1013/4/12

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Keywords

  • fuzzy-neural controller
  • observer
  • time-efficient structure

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

Cite this

Wang, W-Y., Chien, Y. H., Yang, C. K., & Lee, T. T. (2013). Time-efficient structure for observer-based direct/indirect fuzzy-neural controller. In 2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013 (pp. 404-408). [6548772] (2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013). https://doi.org/10.1109/ICNSC.2013.6548772