We study how to achieve the state consensus of a whole multi-agent system after adding some new agent groups dynamically in the original multi-agent system.We analyze the feasibility of dynamically adding agent groups...We study how to achieve the state consensus of a whole multi-agent system after adding some new agent groups dynamically in the original multi-agent system.We analyze the feasibility of dynamically adding agent groups under differen t forms of net work topologies that are currently common,and obtain four feasible schemes in theory,including one scheme that is the best in actual industrial production.Then,we carry out dynamic modeling of multi-agent systems for the best scheme.Impulsive control theory and Lyapunov stability theory are used to analyze the conditions so that the whole multi-agent system with dynamic join characteristics can achieve state consensus.Finally,we provide a numerical example to verify the practicality and validity of the theory.展开更多
基金Project supported by the National Natural Science Foundation of China(No.61873213)the Chongqing Graduate Research and Innovation Project in 2019,China(No.CYB19175)the Major Project of Science and Technology Research Program of Chongqing Education Commission of China(No.KJZDM201900601)。
文摘We study how to achieve the state consensus of a whole multi-agent system after adding some new agent groups dynamically in the original multi-agent system.We analyze the feasibility of dynamically adding agent groups under differen t forms of net work topologies that are currently common,and obtain four feasible schemes in theory,including one scheme that is the best in actual industrial production.Then,we carry out dynamic modeling of multi-agent systems for the best scheme.Impulsive control theory and Lyapunov stability theory are used to analyze the conditions so that the whole multi-agent system with dynamic join characteristics can achieve state consensus.Finally,we provide a numerical example to verify the practicality and validity of the theory.
