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Admissible consensus and consensuali...

Xi, Jianxiang.

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Admissible consensus and consensualization for singular multi-agent systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Admissible consensus and consensualization for singular multi-agent systems/ by Jianxiang Xi ... [et al.].
其他作者:	Xi, Jianxiang.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xix, 272 p. :ill., digital ;24 cm.
內容註:	Introduction -- Fundamental Theory -- Admissible Consensus and Consensualization on Interaction topology -- Admissible Consensus and Consensualization with Time Delays -- Admissible 2 L Consensus and Consensualization with External Disturbances -- Admissible Consensus and Consensualization with Protocol State Constraints -- Admissible Consensus and Consensualization with Energy constraints -- Admissible Formation Tracking with Energy constraints.
Contained By:	Springer Nature eBook
標題:	Multiagent systems. -
電子資源:	https://doi.org/10.1007/978-981-19-6990-4
ISBN:	9789811969904

Admissible consensus and consensualization for singular multi-agent systems
Admissible consensus and consensualization for singular multi-agent systems[electronic resource] /by Jianxiang Xi ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xix, 272 p. :ill., digital ;24 cm. - Engineering applications of computational methods,v. 112662-3374 ;. - Engineering applications of computational methods ;v. 11..

Introduction -- Fundamental Theory -- Admissible Consensus and Consensualization on Interaction topology -- Admissible Consensus and Consensualization with Time Delays -- Admissible 2 L Consensus and Consensualization with External Disturbances -- Admissible Consensus and Consensualization with Protocol State Constraints -- Admissible Consensus and Consensualization with Energy constraints -- Admissible Formation Tracking with Energy constraints.

This book explores admissible consensus analysis and design problems concerning singular multi-agent systems, addressing various impact factors including time delays, external disturbances, switching topologies, protocol states, topology structures, and performance constraint. It also discusses the state-space decomposition method, a key technique that can decompose the motions of singular multi-agent systems into two parts: the relative motion and the whole motion. The relative motion is independent of the whole motion. Further, it describes the admissible consensus analysis and determination of the design criteria for different impact factors using the Lyapunov method, the linear matrix inequality tool, and the generalized Riccati equation method. This book is a valuable reference resource for graduate students of control theory and engineering and researchers in the field of multi-agent systems.

ISBN: 9789811969904

Standard No.: 10.1007/978-981-19-6990-4doiSubjects--Topical Terms:

1048048
Multiagent systems.

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.30285436

Admissible consensus and consensualization for singular multi-agent systems
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505 0 $a Introduction -- Fundamental Theory -- Admissible Consensus and Consensualization on Interaction topology -- Admissible Consensus and Consensualization with Time Delays -- Admissible 2 L Consensus and Consensualization with External Disturbances -- Admissible Consensus and Consensualization with Protocol State Constraints -- Admissible Consensus and Consensualization with Energy constraints -- Admissible Formation Tracking with Energy constraints.
520 $a This book explores admissible consensus analysis and design problems concerning singular multi-agent systems, addressing various impact factors including time delays, external disturbances, switching topologies, protocol states, topology structures, and performance constraint. It also discusses the state-space decomposition method, a key technique that can decompose the motions of singular multi-agent systems into two parts: the relative motion and the whole motion. The relative motion is independent of the whole motion. Further, it describes the admissible consensus analysis and determination of the design criteria for different impact factors using the Lyapunov method, the linear matrix inequality tool, and the generalized Riccati equation method. This book is a valuable reference resource for graduate students of control theory and engineering and researchers in the field of multi-agent systems.
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