Intelligent Internet of Things and its diverse application domains are transforming industry
significantly. In an industry assembly task of a multi-robot system, multi-agent system (MAS) …

Compared with the existing neural network (NN) or fuzzy logic system (FLS) based adaptive
consensus methods, the proposed approach can greatly alleviate the computation burden …

This paper investigates a class of unknown nonlinear multi-agent systems with unknown
time delays and external disturbances. The external disturbance considered in this paper is …

This paper concerns the predefined-time bipartite consensus control for uncertain nonlinear
multiagent systems under a signed directed topology. All agents have high-order uncertain …

Convergence rate is an important performance criterion for consensus control of multi‐agent
systems (MASs). It has been an important and difficult problem to accelerate the …

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 paper explores the challenges of distributed adaptive consensus control problems in
nonlinear multi-agent systems with unknown parameters and communication delays. To …

This paper presents the event-triggered consensus control problem for a class of multi-agent
systems (MASs) in the non-affine form. An error-transformation-based design method is …

In order to tackle the real network constraints such as unknown state time-varying delays
and limited communication resources, this article proposes a dynamic event-triggered …

In this study, a novel distributed adaptive controller is provided for consensus control of high‐
order non‐linear multi‐agent systems with unknown time‐varying delays. The system is …