Distributed Optimization Design of Continuous-Time Multiagent Systems With Unknown-Frequency Disturbances
作者： Xinghu Wang , Yiguang Hong , Peng Yi , Haibo Ji , Yu Kang
DOI: 10.1109/TCYB.2017.2703945
关键词: Computer science 、 Convex optimization 、 Control theory 、 Internal model 、 Multi-agent system 、 Optimization problem 、 Mathematical optimization 、 Bounded function 、 Algorithm design 、 Control and Systems Engineering 、 Human-Computer Interaction 、 Electrical and Electronic Engineering 、 Software 、 Information Systems 、 Computer Science Applications
摘要: In this paper, a distributed optimization problem is studied for continuous-time multiagent systems with unknown-frequency disturbances. A gradient-based control proposed the agents to achieve optimal consensus estimating unknown frequencies and rejecting bounded disturbance in semi-global sense. Based on convex analysis adaptive internal model approach, exact solution can be obtained system disturbed by exogenous disturbances uncertain parameters.
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