Supervisory control of chaotic systems using online GA tuning neural networks

Yanqiu Che, Wang Jiang, Zhou Sisi

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

Abstract

In this paper, we present a controller for the supervisory backstepping control of a class of general nonlinear systems using online GA tuning neural networks (GNSB controller). The weights of the neural networks (NNs) approximator employed in the backstepping controller can successfully be turned via an online genetic algorithms (GAs) approach. The genetic algorithm has the capability of directed random search for global optimization. A simplified form of GA (SGA) approach is proposed to accelerate the search speed, and a new fitness function is established by the Lyapunov design method for the requirement of tuning the weights of the NNs online. A supervisory controller is used to guarantee the stability of the close-loop nonlinear system. Examples of Duffing chaotic system controlled by the presented controller are shown to illustrate the effectiveness of the proposed controller.

Original languageEnglish (US)
Title of host publicationProceedings of the 26th Chinese Control Conference, CCC 2007
Pages193-197
Number of pages5
DOIs
StatePublished - Dec 1 2007
Event26th Chinese Control Conference, CCC 2007 - Zhangjiajie, China
Duration: Jul 26 2007Jul 31 2007

Other

Other26th Chinese Control Conference, CCC 2007
CountryChina
CityZhangjiajie
Period7/26/077/31/07

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modeling and Simulation

Fingerprint Dive into the research topics of 'Supervisory control of chaotic systems using online GA tuning neural networks'. Together they form a unique fingerprint.

  • Cite this

    Che, Y., Jiang, W., & Sisi, Z. (2007). Supervisory control of chaotic systems using online GA tuning neural networks. In Proceedings of the 26th Chinese Control Conference, CCC 2007 (pp. 193-197). [4347494] https://doi.org/10.1109/CHICC.2006.4347494