Inverse-system control of chaos using fuzzy-neural network

The Sugeno fuzzy-neural network is employed to establish the inverse system model of chaotic system, and the inverse system method is used to control chaos. The characteristic of this method is to learn the dynamics of a chaotic system and control chaos effectively with the knowledge obtained instead of establishing an analytical model of the chaotic system; moreover, this method does not require the control object to be a stationary point or periodic trajectory. Theoretical analysis and simulations with the Logistic and Henon models prove that this method is effective.