Asynchronous quantized control of Markovian switching Lur'e systems with event-triggered strategy

This work is devoted to investigating the asynchronous quantized control of discrete-time Markovian switching Lur'e systems with an event-triggered mechanism. To model the asynchronous controller and the quantization effects, the hidden Markov model is employed. For reducing the burden of communication bandwidth, an event-triggered mechanism is adopted. By choosing the proper stochastic Lyapunov functional, sufficient conditions are derived. Finally, a practical example is given to illustrate the effectiveness and efficiency of the proposed method. (c) 2021 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.