Jun Wang

TL;DR: The intermittent fault-tolerance scheme is taken into fully account in designing a reliable asynchronous sampled-data controller, which ensures such that the resultant neural networks is asymptotically stable.

TL;DR: A modified loose-looped fuzzy membership functions (FMFs) dependent Lyapunov-Krasovskii functional (LKF) is constructed based on the information of the time derivative of FMFs, which involves not only a signal transmission delay but also switched topologies.

TL;DR: A novel stochastic switched sampled-data controller with time-varying sampling is developed in the frame of the zero-input strategy and novel synchronization criteria are established to guarantee that DCNNs are synchronous exponentially when the control packet dropout occurs in a random way.

TL;DR: A new stochastic reliable nonuniform sampling controller with Markov switching topologies is designed for the first time to reflect more realistic control behaviors and to guarantee that UCNNs are synchronous exponentially under probabilistic actuator and sensor faults.

TL;DR: A novel memory interconnection Lyapunov–Krasovskii functional is structured by taking full advantage of more information of sampling interval and state, and developing some new terms to investigate the finite-time (FT) H∞ synchronization issue for complex networks with stochastic cyber attacks and random memory information exchanges.