This paper deals with the non-fragile memory filtering issue of TS fuzzy delayed neural
networks with randomly occurring time-varying parameters uncertainties and variable …

The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to
technical, security, and public safety issues that need to be addressed, regulated and …

This article investigates the predefined-time fuzzy adaptive tracking control problem for a
class of nonlinear switched fractional-order systems with input saturation and external …

In this paper, an event-triggered optimal tracking control of discrete-time multi-agent systems
is addressed by using reinforcement learning. In contrast to traditional reinforcement …

This paper focuses on the problem of global exponential stability analysis for high-order
delayed discrete-time Cohen–Grossberg neural networks. Multiple time-varying delays are …

This paper studies a class of multi-agent systems (MASs) subject to deception signal and
communication interference. The objective of the present work is to establish a flexible and …

This paper proposes a new hybrid-driven (HD) sampling control strategy to investigate the
finite-time (FT) H∞ synchronization issue for complex networks with stochastic cyber attacks …

In this paper, to investigate the exponential synchronization of stochastic neural networks, a
new periodically intermittent discrete observation control (PIDOC) is first proposed. Different …

In this paper, the optimal bipartite consensus control (OBCC) problem is investigated for
unknown multi-agent systems (MASs) with coopetition networks. A novel distributed OBCC …

This article investigates exponential synchronization for complex dynamical networks
(CDNs) with nonfragile sampled‐data feedback control. An important yet challenging …