USING DYNAMIC NEURAL NETWORKS TO GENERATE CHAOS: AN INVERSE OPTIMAL CONTROL APPROACH-Reference-Cited by-同舟云学术

USING DYNAMIC NEURAL NETWORKS TO GENERATE CHAOS: AN INVERSE OPTIMAL CONTROL APPROACH

Published:2001-03 Issue:03 Volume:11 Page:857-863
ISSN:0218-1274
Container-title:International Journal of Bifurcation and Chaos
language:en
Short-container-title:Int. J. Bifurcation Chaos

Author:

SANCHEZ EDGAR N.¹,PEREZ JOSE P.¹,CHEN GUANRONG²

Affiliation:

1. CINVESTAV, Unidad Guadalajara, Apartado Postal 31-430, Plaza La Luna, Guadalajara, Jalisco. C.P. 45081, México

2. Department of Electronic Engineering, City University of Hong Kong, China

Abstract

This Letter suggests a new approach to generating chaos via dynamic neural networks. This approach is based on a recently introduced methodology of inverse optimal control for nonlinear systems. Both Chen's chaotic system and Chua's circuit are used as examples for demonstration. The control law is derived to force a dynamic neural network to reproduce the intended chaotic attractors. Computer simulations are included for illustration and verification.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modeling and Simulation,Engineering (miscellaneous)

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218127401002468

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