This paper provides a review of the consensus problem as one of the most challenging
issues in the distributed control of the multi-agent systems (MASs). In this survey, firstly, the …

This article addresses the adaptive event-triggered neural control problem for nonaffine pure-
feedback nonlinear multiagent systems with dynamic disturbance, unmodeled dynamics …

As an emerging decentralized architecture and distributed computing paradigm underlying
Bitcoin and other cryptocurrencies, blockchain has attracted intensive attention in both …

An adaptive neural network (NN) event-triggered control scheme is proposed for nonlinear
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …

This article studies the adaptive optimized leader–follower consensus control problem for a
class of discrete-time multi-agent systems with asymmetric input saturation constraints and …

In this brief, the practical finite-time consensus (FTC) problem is investigated for the second-
order heterogeneous switched nonlinear multi-agent systems (MASs), where the …

This article proposes an adaptive neural-network command-filtered tracking control scheme
of nonlinear systems with multiple actuator constraints. An equivalent transformation method …

This paper studies the tracking control problem for an uncertain-link robot with full-state
constraints. The rigid robotic manipulator is described as a multiinput and multioutput …

This paper solves the stochastically finite-time control problem for uncertain stochastic
nonlinear systems in nontriangular form. The considered controlled plants are different from …

In this paper, adaptive impedance control is developed for an-link robotic manipulator with
input saturation by employing neural networks. Both uncertainties and input saturation are …