IT2FNN-Based Mode-Asynchrony Variable-Structure Control Under Event-Triggered Communication

This paper deals with the problem of mode-asynchrony sliding-mode variable-structure control (VSC) under event-triggered communication for continuous-time Markov jump systems with hidden modes. The hidden-mode Markov jump systems with both the matched and mismatched uncertainties are formulated. In terms of the event-triggered communication from the sensor to the controller, static and dynamic mechanisms based on periodic/aperiodic sampling are designed for mitigating the burden of communication. In this case of mode-asynchrony and aperiodic sampling state measurements, new sliding-mode VSC laws integrated with an interval type-2 fuzzy neural network are designed. The interval type-2 fuzzy neural network is used to approximate matched uncertainty. Moreover, the analysis of the finitetime practical stability of the control system is presented based on the Lyapunov function approach. Finally, a set of simulation results are given to show the validity and practicability of the present results.