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.

Automated summary

This paper investigates the dynamic quantized control for switched fuzzy systems with singular perturbation and an improved event-triggered protocol. Nonhomogeneous sojourn probabilities are employed to characterize the dynamic behavior of switched fuzzy singularly perturbed systems based on a deterministic switching signal. A quantization-based event-triggered protocol is presented to decrease the communication load. A novel event-triggered asynchronous control law is built based on the hidden Markov model. Two examples are provided to demonstrate the practicality of the obtained results.