Consensus of Heterogeneous Nonlinear Multiagent Systems With Duplex Control Laws
This note addresses the consensus of heterogeneous nonlinear multiagent systems with duplex control laws including the integral control law and the proportional control law. Sufficient conditions are derived to ascertain the consensus of multiagent systems under directed communication graphs. It is...
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Published in | IEEE transactions on automatic control Vol. 64; no. 12; pp. 5140 - 5147 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.12.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
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Abstract | This note addresses the consensus of heterogeneous nonlinear multiagent systems with duplex control laws including the integral control law and the proportional control law. Sufficient conditions are derived to ascertain the consensus of multiagent systems under directed communication graphs. It is shown herein that the connectivity of the communication graph underlying the integral control law is more important than that of proportional one for consensus and that the graph underlying the proportional control law does not need to be connected. It is also shown that the heterogeneous nonlinear multiagent systems are applicable for distributed optimization. In particular, simulation results on the nonlinear multiagent system for distributed parameter estimation in a wireless sensor network are provided to substantiate the theoretical results. |
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AbstractList | This note addresses the consensus of heterogeneous nonlinear multiagent systems with duplex control laws including the integral control law and the proportional control law. Sufficient conditions are derived to ascertain the consensus of multiagent systems under directed communication graphs. It is shown herein that the connectivity of the communication graph underlying the integral control law is more important than that of proportional one for consensus and that the graph underlying the proportional control law does not need to be connected. It is also shown that the heterogeneous nonlinear multiagent systems are applicable for distributed optimization. In particular, simulation results on the nonlinear multiagent system for distributed parameter estimation in a wireless sensor network are provided to substantiate the theoretical results. |
Author | Wang, Jun Yang, Shaofu Liu, Qingshan |
Author_xml | – sequence: 1 givenname: Shaofu orcidid: 0000-0001-7727-9669 surname: Yang fullname: Yang, Shaofu email: sfyang@seu.edu.cn organization: School of Computer Science and Engineering and the School of Cyber Science and Engineering, Southeast University, Nanjing, Nanjing, China – sequence: 2 givenname: Jun orcidid: 0000-0002-1305-5735 surname: Wang fullname: Wang, Jun email: jwang.cs@cityu.edu.hk organization: Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong – sequence: 3 givenname: Qingshan orcidid: 0000-0001-7672-5129 surname: Liu fullname: Liu, Qingshan email: qsliu@seu.edu.cn organization: School of Mathematics, Southeast University, Nanjing, China |
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SubjectTerms | Consensus Control systems Control theory Decentralized control distributed optimization duplex control law heterogeneous nonlinear multiagent systems Integrals Multi-agent systems Multiagent systems Nonlinear dynamical systems Nonlinear systems Optimization Parameter estimation Proportional control Remote sensors Synchronization Wireless sensor networks |
Title | Consensus of Heterogeneous Nonlinear Multiagent Systems With Duplex Control Laws |
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