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Q-learning-based adaptive resilient event-triggered fault detection for fuzzy stochastic systems: A novel asynchronous switching filter strategy
This paper develops a Q-learning-based adaptive resilient event-triggered fault detection framework for interval type-2 Takagi–Sugeno fuzzy semi-Markov jump systems by introducing a novel asynchronous switching filter under D -stability constraints. In order to deal with denial-of-service attacks, a novel multi-wei...