Dynamic quantized control for switched fuzzy singularly perturbation systems with event-triggered protocol

This paper is concerned with the dynamic quantized control for switched fuzzy systems with singular perturbation and an improved event-triggered protocol. Essentially apart from the transition probabili-ties, the nonhomogeneous sojourn probabilities are employed to characterize the dynamic behavior of switched fuzzy singularly perturbed systems based on a deterministic switching signal. Benefiting from the dynamic quantization parameter, the quantization-based event-triggered protocol is presented, thereby decreasing the communication load. Based on the hidden Markov model, a novel event-triggered asyn-chronous control law is built. Finally, two examples are shown to clarify the practicality of the obtained results.(c) 2023 The Franklin Institute. Published by Elsevier Inc. All rights reserved.