Stablization of an inverted pendulum by a high-speed fuzzy logic controller hardware system
Fuzzy Sets and Systems - On Applications of Fuzzy Logic Control to Industry
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
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This paper addresses some of the potential benefits of using ANFIS controller to control an inverted pendulum system. The stages of the development of a controller using a four input Adaptive-neuro fuzzy inference structure(ANFIS) model were presented. The main idea of this paper is to implement and optimized neuro-fuzzy logic control algorithms in order to balance the inverted pendulum and at the same time reducing the computational time of the controller. Simulation results show that the ANFIS Controllers are far more superior compared to PID controllers in terms of overshoot, settling time and response to parameter changes.