The Research of Nonlinear Control Based on Fuzzy Neural Network

Abstract

This paper discussed and researched the structure and algorithm of fuzzy neural network controller based on the character of fuzzy logic and neural network theory. For the nonlinear system characteristics of uncertainty, high order and hysteresis, this paper used the fuzzy neural network technology to control nonlinear system and improved the control quality obviously. Take the single inverted pendulum for example, the paper constructed the nonlinear mathematic model, realized the control with the method of the adaptive fuzzy neural network, and compared with control method of liner quadratic regulator, the simulation results indicate that the method of adaptive fuzzy neural network can realize the stabilization of control better without the linear model of system, and has a higher robustness.