A predefined-time adaptive consensus control strategy is developed for a class of multi-
agent systems containing unknown nonlinearity. The unknown dynamics and switching …

This article solves the problem of distributed event-triggered fuzzy control for a class of
heterogeneous switched nonlinear multiagent systems (MASs) under switching topologies …

This article focuses on the leader-following consensus problem for a class of high-order
uncertain nonlinear multiagent systems (MASs) subject to denial-of-service (DoS) attacks …

In the existing works on multiagent systems with neural-network-based protocols, it is
usually assumed that states of all agents are within a compact set so that the approximation …

In this article, we focus on the distributed group asynchronous consensus problem for cyber-
physical systems (CPSs) with unknown dynamics and switching topologies. This article …

In this paper, the leader-following consensus problem is investigated for heterogeneous
switched nonlinear multi-agent systems with switching topologies. First, because the whole …

In this article, the leader-following consensus of discrete-time second-order stochastic
nonlinear multiagent systems with Markovian switching topology is investigated. Assume …

Iterative learning control (ILC) is an effective control strategy for complex systems that uses
trial and error to obtain desired output trajectories. This paper focuses on the issue of event …

This paper proposes a new Lyapunov function to study the distributed consensus problem
for nonlinear multi-agent systems whose topologies are asynchronously switched with …

Existing adaptive neural control methods for nonlinear multiagent systems (MASs) are only
applicable under a fixed topology or are applicable under switching topologies but require …