Asynchronous finite-time extended dissipative sliding mode control for semi-Markovian jump master–slave neural networks

This paper aims to investigate the finite-time extended dissipative asynchronous sliding mode control (SMC) on semi-Markovian jump master–slave neural networks (MSNNs) subject to event-triggering scheme (ETS) and packet dropout. Considering ETS, packet dropout and network-induced delays, the asynchronous finite-time SMC which is more realistic is designed. Sufficient conditions are obtained that closed-loop system is extended dissipative stochastic finite-time bound. Meantime, we present novel results for closed-loop system on extended dissipative stochastic finite-time contractive bound. Finally, the biological neural network is presented to illustrate the validness of methods.