Optimization Control for Multiagent Systems with Disturbances via Dynamic Triggered Mechanisms (Paperback)

Yuanshan Liu

ISBN 10: 999931466X / ISBN 13: 9789999314664

Edité par Eliva Press, 2024

A propos de cet article

Paperback. In this comprehensive study on distributed optimization in multiagent systems, the authors present a pioneering approach to managing external disturbances in complex network scenarios. This book addresses the challenges in systems with both fixed and switching topologies, introducing an innovative controller equipped with dynamic triggered mechanisms. These mechanisms are expertly designed to reduce communication resource waste and lower agent energy consumption significantly. Alongside, a novel distributed disturbance observer is developed to accurately estimate external disturbances in the input channels. The authors skillfully derive sufficient conditions for achieving consensus in multiagent systems under diverse network conditions. A key highlight is the successful avoidance of Zeno behaviors by the designed mechanisms, marking a significant advancement in the field. The effectiveness of these groundbreaking algorithms is further underscored through rigorous numerical simulations. This book is a critical resource for anyone interested in the forefront of research in dynamic systems and control theory, offering both theoretical depth and practical insights. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9789999314664

Détails bibliographiques

Titre : Optimization Control for Multiagent Systems ...

Éditeur : Eliva Press

Date d'édition : 2024

Reliure : Paperback

Etat : new

A propos de ce titre

Synopsis :

In this comprehensive study on distributed optimization in multiagent systems, the authors present a pioneering approach to managing external disturbances in complex network scenarios. This book addresses the challenges in systems with both fixed and switching topologies, introducing an innovative controller equipped with dynamic triggered mechanisms. These mechanisms are expertly designed to reduce communication resource waste and lower agent energy consumption significantly. Alongside, a novel distributed disturbance observer is developed to accurately estimate external disturbances in the input channels. The authors skillfully derive sufficient conditions for achieving consensus in multiagent systems under diverse network conditions. A key highlight is the successful avoidance of Zeno behaviors by the designed mechanisms, marking a significant advancement in the field. The effectiveness of these groundbreaking algorithms is further underscored through rigorous numerical simulations. This book is a critical resource for anyone interested in the forefront of research in dynamic systems and control theory, offering both theoretical depth and practical insights.