Nowadays, neural networks have been widely applied in many fields such as pattern
recognition, signal and image processing and control theory. Over the past two decades or …

In this paper, the leader-following consensus problem of high-order multiagent systems via
event-triggered control is discussed. A novel distributed event-triggered communication …

This paper applies an input-based triggering approach to investigate the secure consensus
problem in multiagent systems under denial-of-service (DoS) attacks. The DoS attacks are …

In this paper, the problem of sampled-data synchronization for Markovian jump neural
networks with time-varying delay and variable samplings is considered. In the framework of …

This paper is mainly concerned with the synchronization problem of reaction-diffusion neural
networks (RDNNs) with delays and its direct application in image secure communications …

This paper studies the problem of event-triggered secure consensus for multiagent systems
subject to periodic energy-limited denial-of-service (DoS) attacks, where DoS attacks usually …

This paper studies the global pinning synchronization problem for a class of complex
networks with switching directed topologies. The common assumption in the existing related …

This paper investigates the problem of sampled-data (SD) exponentially synchronization for
a class of Markovian neural networks with time-varying delayed signals. Based on the …

This paper proposes a new non-fragile stochastic control method to investigate the robust
sampled-data synchronization problem for uncertain chaotic Lurie systems (CLSs) with time …

This paper is concerned with the consensus of multiagent systems with nonlinear dynamics
through the use of aperiodic sampled-data controllers, which are more flexible than classical …