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Zhisheng Duan
Cooperative Control of Multi-Agent Systems
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4277796Cooperative Control of Multi-Agent Systemshttps://www.gandhi.com.mx/cooperative-control-of-multi-agent-systems-9781351831864/phttps://gandhi.vtexassets.com/arquivos/ids/2631829/2ab36ba1-16d7-4e9a-b725-daf90e36b399.jpg?v=63838424019657000022262226MXNCRC PressInStock/Ebooks/<p>Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due to the interconnected effect of the agent dynamics, the interaction graph among agents, and the cooperative control laws. <strong>Cooperative Control of Multi-Agent Systems: A Consensus Region Approach</strong> offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics.</p><p>Beginning with an introduction to cooperative control and graph theory, this monograph:</p><ul><li>Explores the consensus control problem for continuous-time and discrete-time linear multi-agent systems</li><li>Studies the H8 and H2 consensus problems for linear multi-agent systems subject to external disturbances</li><li>Designs distributed adaptive consensus protocols for continuous-time linear multi-agent systems</li><li>Considers the distributed tracking control problem for linear multi-agent systems with a leader of nonzero control input</li><li>Examines the distributed containment control problem for the case with multiple leaders</li><li>Covers the robust cooperative control problem for multi-agent systems with linear nominal agent dynamics subject to heterogeneous matching uncertainties</li><li>Discusses the global consensus problem for Lipschitz nonlinear multi-agent systems</li></ul><p><strong>Cooperative Control of Multi-Agent Systems: A Consensus Region Approach</strong> provides a novel approach to designing distributed cooperative protocols for multi-agent systems with complex dynamics. The proposed consensus region decouples the design of the feedback gain matrices of the cooperative protocols from the communication graph and serves as a measure for the robustness of the protocols to variations of the communication graph. By exploiting the decoupling feature, adaptive cooperative protocols are presented that can be designed and implemented in a fully distributed fashion.</p>...4213702Cooperative Control of Multi-Agent Systems22262226https://www.gandhi.com.mx/cooperative-control-of-multi-agent-systems-9781351831864/phttps://gandhi.vtexassets.com/arquivos/ids/2631829/2ab36ba1-16d7-4e9a-b725-daf90e36b399.jpg?v=638384240196570000InStockMXN99999DIEbook20179781351831864_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9781351831864_<p>Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due to the interconnected effect of the agent dynamics, the interaction graph among agents, and the cooperative control laws. <strong>Cooperative Control of Multi-Agent Systems: A Consensus Region Approach</strong> offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics.</p><p>Beginning with an introduction to cooperative control and graph theory, this monograph:</p><ul><li>Explores the consensus control problem for continuous-time and discrete-time linear multi-agent systems</li><li>Studies the H8 and H2 consensus problems for linear multi-agent systems subject to external disturbances</li><li>Designs distributed adaptive consensus protocols for continuous-time linear multi-agent systems</li><li>Considers the distributed tracking control problem for linear multi-agent systems with a leader of nonzero control input</li><li>Examines the distributed containment control problem for the case with multiple leaders</li><li>Covers the robust cooperative control problem for multi-agent systems with linear nominal agent dynamics subject to heterogeneous matching uncertainties</li><li>Discusses the global consensus problem for Lipschitz nonlinear multi-agent systems</li></ul><p><strong>Cooperative Control of Multi-Agent Systems: A Consensus Region Approach</strong> provides a novel approach to designing distributed cooperative protocols for multi-agent systems with complex dynamics. The proposed consensus region decouples the design of the feedback gain matrices of the cooperative protocols from the communication graph and serves as a measure for the robustness of the protocols to variations of the communication graph. By exploiting the decoupling feature, adaptive cooperative protocols are presented that can be designed and implemented in a fully distributed fashion.</p>(*_*)9781351831864_<p>Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due to the interconnected effect of the agent dynamics, the interaction graph among agents, and the cooperative control laws. <strong>Cooperative Control of Multi-Agent Systems: A Consensus Region Approach</strong> offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics.</p><p>Beginning with an introduction to cooperative control and graph theory, this monograph:</p><ul><li>Explores the consensus control problem for continuous-time and discrete-time linear multi-agent systems</li><li>Studies the H8 and H2 consensus problems for linear multi-agent systems subject to external disturbances</li><li>Designs distributed adaptive consensus protocols for continuous-time linear multi-agent systems</li><li>Considers the distributed tracking control problem for linear multi-agent systems with a leader of nonzero control input</li><li>Examines the distributed containment control problem for the case with multiple leaders</li><li>Covers the robust cooperative control problem for multi-agent systems with linear nominal agent dynamics subject to heterogeneous matching uncertainties</li><li>Discusses the global consensus problem for Lipschitz nonlinear multi-agent systems</li></ul><p><strong>Cooperative Control of Multi-Agent Systems: A Consensus Region Approach</strong> provides a novel approach to designing distributed cooperative protocols for multi-agent systems with complex dynamics. The proposed consensus region decouples the design of the feedback gain matrices of the cooperative protocols from the communication graph and serves as a measure for the robustness of the protocols to variations of the communication graph. By exploiting the decoupling feature, adaptive cooperative protocols are presented that can be designed and implemented in a fully distributed fashion.</p>...9781351831864_CRC Presslibro_electonico_c6bc7de4-2fb3-3143-b800-4030494a217a_9781351831864;9781351831864_9781351831864Zhisheng DuanInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/taylorandfrancis-epub-b907fd90-2dfc-4e96-b275-b084bc6f2619.epub2017-12-19T00:00:00+00:00CRC Press