Genetic Algorithms Applied in Fuzzy-Sliding Mode Control of Nonlinear Systems
Dragan Antić, Marko T. Milojkovic, Zoran D. Jovanović · 2007
This paper considers a new method for nonlinear systems control based on genetic algorithms applied on fuzzy- sliding mode. This new control method achieves good results in terms of robustness, dynamics of control, and controlled signals. It also solves the chattering problem. Illustration and verification of this new method is done by simulation of inverted pendulum system.