title: Velocity synchronization of multi-agent systems with mismatched parameters via sampled position data.
abstract: Power systems are special multi-agent systems with nonlinear coupling function and symmetric structures. This paper extends these systems to a class of multi-agent systems with mismatched parameters, linear coupling function, and asymmetric structures and investigates their velocity synchronization via sampled position data. The dynamics of the agents is adopted as that of generators with mismatched parameters, while the system structures are supposed to be complex. Two distributed linear consensus protocols are designed, respectively, for multi-agent systems without or with communication delay. Necessary and sufficient conditions based on the sampling period, the mismatched parameters, the delay, and the nonzero eigenvalues of the Laplacian matrix are established. It is shown that velocity synchronization of multi-agent systems with mismatched parameters can be achieved if the sampled period is chosen appropriately. Simulations are given to illustrate the effectiveness of the theoretical results.
authors.affiliation: School of Information and Mathematics, Yangtze University, Jingzhou 434023, People's Republic of China.
authors.forename: Wen
authors.initials: W
authors.lastname: Sun
authors.affiliation: School of Information and Mathematics, Yangtze University, Jingzhou 434023, People's Republic of China.
authors.forename: Chunli
authors.initials: C
authors.lastname: Huang
authors.affiliation: Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, People's Republic of China.
authors.forename: Jinhu
authors.initials: J
authors.lastname: Lü
authors.affiliation: School of Information and Mathematics, Yangtze University, Jingzhou 434023, People's Republic of China.
authors.forename: Xiong
authors.initials: X
authors.lastname: Li
authors.affiliation: College of Mathematics and Statistics, Wuhan University, Wuhan 430072, People's Republic of China.
authors.forename: Shihua
authors.initials: S
authors.lastname: Chen