Distributed event-triggered consensus of multi-agent systems with input delay

2020 ◽  
Vol 53 (2) ◽  
pp. 2550-2555
Author(s):  
Yunhan Li ◽  
Pengyu Zhang ◽  
Chunyan Wang ◽  
Dandan Wang ◽  
Jianan Wang

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 343 ◽  
Author(s):  
Jianzhen Li ◽  
Chenglong Li ◽  
Xiaofei Yang ◽  
Wei Chen

This paper studies the problem of distributed containment control for multi-agent systems with high-order dynamics and input delays. Two event-triggered control algorithms are proposed for multi-agent systems without and with input delay, respectively. The communication instants between two linked followers are determined by the event-triggering condition, and every follower can detect the event based on its own control input. For the followers, edge-based estimators are adopted to predict state differences to neighbors. Control inputs of the followers are calculated based on the predicted values of the state differences. To deal with the input delay, a delay comprehension approach is developed. It is proved that for arbitrarily large but bounded input delays, the followers can move into the convex hull spanned by the leaders asymptotically. Simulation results show the effectiveness of the proposed algorithms.





2021 ◽  
pp. 107754632110368
Author(s):  
Tao Chen ◽  
Jiaxin Yuan ◽  
Hui Yang

This article investigates the consensus problem for a class of fractional-order multi-agent systems with input delay. Each follower is modeled as a system with input delay and nonlinear dynamics. To avoid “explosion of complexity” and obtain fractional derivatives for virtual control functions continuously, dynamic surface control technology is introduced into an adaptive neural network backstepping controller. A dynamic event-triggered scheme without Zeno behavior is considered, which can reduce the utilization of communication resources. The sliding mode control technology is introduced to enhance robustness. The Pade delay approximation method is extended to fractional-order systems, which converts the original systems into systems without input delay. The stability of systems is ensured by the constructed Lyapunov functions. Examples and simulation results show that the consensus tracking errors can quickly converge and all the followers can synchronize to the leader by the proposed method.









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