Exponential Synchronization of Nonlinear Multi-agent Systems via Distributed Self-triggered Hybrid Control with Virtual Linked Agents

2021 ◽  
pp. 1-20
Author(s):  
Yi Li ◽  
Chuandong Li ◽  
Le You ◽  
Zhilong He ◽  
Hongfei Li
Keyword(s):  
Hybrid Control ◽  
Exponential Synchronization ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

On consensus performance of nonlinear multi-agent systems with hybrid control

2016 ◽  
Vol 353 (13) ◽  
pp. 3133-3150 ◽  
Author(s):  
Bin Hu ◽  
Zhi-Hong Guan ◽  
Xiao-Wei Jiang ◽  
Ming Chi ◽  
Li Yu
Keyword(s):  
Hybrid Control ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Multiagent reinforcement learning using Non-Parametric Approximation

Respuestas ◽  
2018 ◽  
Vol 23 (2) ◽  
pp. 53-61
Author(s):  
David Luviano Cruz ◽  
Francesco José García Luna ◽  
Luis Asunción Pérez Domínguez
Keyword(s):  
Reinforcement Learning ◽  
Hybrid Control ◽  
Learning Algorithm ◽  
Multi Agent Systems ◽  
Generation Task ◽  
Q Learning ◽  
Agent Systems ◽  
Multi Agent ◽  
Optimal Set ◽  
Parametric Approximation

This paper presents a hybrid control proposal for multi-agent systems, where the advantages of the reinforcement learning and nonparametric functions are exploited. A modified version of the Q-learning algorithm is used which will provide data training for a Kernel, this approach will provide a sub optimal set of actions to be used by the agents. The proposed algorithm is experimentally tested in a path generation task in an unknown environment for mobile robots.

Event-triggered flocking control of multi-agent systems in presence of cyber attacks

2021 ◽  
pp. 095441002098637
Author(s):  
Neda Amirian ◽  
Saeed Shamaghdari
Keyword(s):  
Hybrid Control ◽  
Cyber Attacks ◽  
Multi Agent Systems ◽  
Consensus Protocol ◽  
Agent Systems ◽  
Cooperative Agents ◽  
Event Triggering ◽  
Multi Agent ◽  
Update Rules ◽  
Event Triggered

We propose an event-triggered control system for multi-agent systems with the double-integrator network to achieve resilient flocking behavior in the presence of cyberattacks. The method can manage connectivity and increase the robustness of the topology graph via a three-state hybrid control. Each state of hybrid control has a distinct triggering condition. The developed event-triggered update rules can mitigate the influence of the noncooperative agents using the weighted mean subsequence reduced algorithm and reduce unnecessary communication among them. As a result, the performance of the system can effectively improve. Convergence of the velocity and orientation of the agents is guaranteed by using this type of control structure and resilient consensus protocol. We assume that the bound on the number of noncooperative agents in the neighbor sets of cooperative agents is known. The proposed scheme with the event-triggering rules can avoid Zeno behaviors inherently. Finally, a simulation example is worked out to demonstrate the effectiveness of the proposed approach.

Exponential Consensus for Nonlinear Multi-Agent Systems with Communication and Input Delays via Hybrid Control

2017 ◽  
Vol 20 (4) ◽  
pp. 1440-1451 ◽  
Author(s):  
Yangling Wang ◽  
Jinde Cao ◽  
Haijun Wang ◽  
Ahmed Alsaedi ◽  
Fuad E. Alsaadi
Keyword(s):  
Hybrid Control ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Input Delays
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