Adaptive distributed synchronization of heterogeneous multi-Agent systems over directed graphs with time-Varying edge weights |
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| Authors: | Qiyu Yang Yi Lyu Xiaolei Li Ci Chen Frank L Lewis |
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| Institution: | 1. School of Automation, Guangdong University of Technology, Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China;2. School of Computer, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan, China;3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;4. Department of Automatic Control, Lund University, Sweden;5. UTA Research Institute, The University of Texas at Arlington, Fort Worth, USA |
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| Abstract: | Time-varying edge weights represent dynamical interactions between any two nodes in multi-agent systems (MASs). In this paper, we consider a synchronization problem for heterogeneous MASs over directed graphs with time-varying edge weights from a control-theoretic perspective. We seek for an adaptive control protocol that drives the synchronization error in the presence of time-varying edge weights to converge in terms of asymptotic stability. We propose a class of observer networks for estimating leaders and output regulation equation solvers built on directed graphs with time-varying edge weights. Finally, we use a simulation study to verify the effectiveness of the proposed protocol. |
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