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Proposed work is aimed at designing an intelligent fuzzy controller with guaranteed stability. We employ Lyapunov theory on the linguistic fuzzy rules to constrain action set for the fuzzy controller. Lyapunov theory constrained control action results in an intelligent controller that exhibits stability even under disturbances. Proposed controller is suitable for continuous state action spaces as...
This paper aims at designing a novel Hybrid Lyapunov theory based Fuzzy Reinforcement Learning Controller with guaranteed stability for non linear systems. One of the major difficulties faced in applying Reinforcement Learning (RL) to real world problems is its limited capability to cope with continuous state spaces. In Fuzzy Q-Learning (FQL) fuzzy Inference systems have been used as universal function...
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