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 finitetime 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.