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A Game-theoretical Approach for a Finite-time Consensus of Secondorder Multi-agent System

  • Lei Xue
  • Changyin SunEmail author
  • Donald C. WunschII
Article
  • 38 Downloads

Abstract

The second-order consensus problem depends on not only the topology condition but also the coupling strength of the relative positions and velocities between neighboring agents. This paper seeks to solve the finitetime consensus problem of second-order multi-agent systems by games with special structures. Potential game and weakly acyclic game were applied for modeling the second-order consensus problem with different topologies. Furthermore, this paper introduces the event-triggered asynchronous cellular learning automata algorithm for optimizing the decision making process of the agents, which facilitates a convergence with the Nash equilibrium. Finally, numerical examples illustrate the effectiveness of the models.

Keywords

Event-triggered asynchronous cellular learning automata finite-time second-order consensus graphical games multi-agent system potential game weakly acyclic game 

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Copyright information

© ICROS, KIEE and Springer 2019

Authors and Affiliations

  1. 1.Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, School of AutomationSoutheast UniversityNanjingChina
  2. 2.Department of Electrical and Computer EngineeringMissouri University of Science and TechnologyRollaUSA

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