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Matrix-weighted consensus for multi-agent systems with sampled-data
Institution:1. School of Science, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China;2. Department of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China;1. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, PR China;2. Key Laboratory of System Control and Information Process, Ministry of Education, Shanghai 200240, PR China;3. Department of Mechnical Engineering, Politecnico di Milano, Milan 20156, Italy;1. Department of Electrical and Computer Eng., McGill Univ., Montreal, Canada;2. School of Mechanical Eng., Shiraz Univ., Mollasadra Ave., Shiraz, Iran;1. the Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai 200237, China;2. Shanghai Institute of Space Power-Sources, Shanghai 200245, China;3. State Key Laboratory of Space Power-sources Technology, Shanghai 200245, China;4. Shanghai Power & Energy Storage Battery System Engineering Tech Co. Ltd, Shanghai 200245, China
Abstract:This paper researches the consensus issue for multi-agent systems on matrix-weighted directed fixed and undirected switching network topologies by sampled data control method which saves resources and is more practical. Using the sampled information, the distributed control laws are designed under two network topologies, respectively. Under directed fixed network topology, the consensus conditions based on the sampling period and the eigenvalues of Laplacian matrix are deduced by matrix theory and analysis theory. Under undirected switching network topology, by using Lyapunov stability theory, the consensus conditions based on the sampling period and switched network topologies are built. Lastly, two simulation examples are offered to verify the validity of the obtained results.
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