Distributed consensus of multi-agent systems with external disturbances

2014 ◽  
Author(s):  
Weijun Cao ◽  
Taisheng Ma ◽  
Yujuan Lin ◽  
Jinhui Zhang
Keyword(s):  
Multi Agent Systems ◽  
Distributed Consensus ◽  
External Disturbances ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Sliding-mode observers based distributed consensus control for nonlinear multi-agent systems with disturbances

2021 ◽  
Author(s):  
Yulian Jiang ◽  
Yuhang Zhang ◽  
Hongquan Wang ◽  
Keping Liu
Keyword(s):  
Nonlinear Dynamics ◽  
Sliding Mode ◽  
Consensus Algorithm ◽  
Multi Agent Systems ◽  
Distributed Consensus ◽  
External Disturbances ◽  
Consensus Control ◽  
Agent Systems ◽  
Multi Agent ◽  
Sliding Mode Observers

AbstractThe distributed consensus control problem for nonlinear multi-agent systems (MASs) with external disturbances under switching directed topologies is investigated. Distributed sliding-mode observers are designed considering both nonlinear dynamics and disturbances in MASs. Utilizing estimated states information via sliding-mode observers, a control protocol is constructed and analyzed to ensure the MASs reach consensus, and additionally guarantee the desired disturbance rejection criterion. Furthermore, the simulation experiment is carried out by taking multiple simple-pendulum network systems. By comparing this work with the related existing results, our designed observers are superior in estimating states information simultaneously considering both nonlinear dynamics and external disturbances, and the experiment result analysis shows validity of distributed consensus algorithm based on sliding-mode observers for MASs.

scholarly journals Adaptive constraint control for nonlinear multi-agent systems with undirected graphs

2021 ◽  
Vol 6 (11) ◽  
pp. 12051-12064
Author(s):  
Lu Zhi ◽  
◽  
Jinxia Wu
Keyword(s):  
Control Method ◽  
Control Technique ◽  
Multi Agent Systems ◽  
Distributed Consensus ◽  
Controlled System ◽  
Agent Systems ◽  
Full State ◽  
Constraint Control ◽  
Multi Agent ◽  
System States

<abstract><p>This paper investigates the problem of adaptive distributed consensus control for stochastic multi-agent systems (MASs) with full state constraints. By utilizing adaptive backstepping control technique and barrier Lyapunov function (BLF), an adaptive distributed consensus constraint control method is proposed. The developed control method can ensure that all signals of the controlled system are semi-globally uniformly ultimately bounded (SGUUB) in probability, and outputs of the follower agents keep consensus with the output of leader. In addition, system states are not transgressed their constrained sets. Finally, simulation results are provided to illustrate the feasibility of the developed control algorithm and theorem.</p></abstract>

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