Cooperative Coverage Control of Multi-Agent Systems and its Applications

This book explores cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in missile interception, intelligent transportation systems, and environment monitoring. It proposes a distributed sweep coverage algorithm to efficiently complete workload on a given region, ensuring input-to-state stability.

Format: Paperback / softback
Length: 139 pages
Publication date: 09 December 2022
Publisher: Springer Verlag, Singapore

This book delves into the realm of cooperative coverage control approaches for multi-agent systems in uncertain environments, exploring their diverse applications across various fields. A groundbreaking theoretical framework is presented, proposing a novel method for achieving multi-agent coverage through a divide-and-conquer scheme. By concurrently considering workload partition and sweeping operations, a distributed sweep coverage algorithm is developed, enabling multi-agent systems to collaboratively accomplish the workload within a specified region. This approach ensures input-to-state stability in theory, guaranteeing the desired coverage performance. Furthermore, the effectiveness of cooperative coverage control is demonstrated through three practical application scenarios: missile interception, intelligent transportation systems, and environment monitoring. These scenarios showcase the remarkable advantages of collaborative coverage control in enhancing the efficiency, reliability, and adaptability of these systems in challenging environments.

Introduction:
In today's complex and dynamic environments, the task of coverage control for multi-agent systems has gained significant importance. Multi-agent systems, consisting of a group of autonomous agents working together towards a common goal, are increasingly being employed in various fields such as military operations, transportation systems, and environmental monitoring. Coverage control involves ensuring that all areas of interest within a given region are visited by the agents, thereby fulfilling the desired coverage objective.
Cooperative Coverage Control Approaches:
This book focuses on exploring cooperative coverage control approaches for multi-agent systems in uncertain environments. It emphasizes the importance of collaboration and coordination among the agents to achieve efficient and effective coverage. The book proposes a novel theoretical formulation of multi-agent coverage, which involves dividing the coverage task into smaller sub-tasks and assigning them to individual agents. By leveraging the divide-and-conquer scheme, the agents can work in parallel, efficiently covering the entire region.
Distributed Sweep Coverage Algorithm:
One of the key contributions of this book is the development of a distributed sweep coverage algorithm for multi-agent systems. This algorithm takes into account workload partition and sweeping operations simultaneously. By partitioning the workload among the agents, the algorithm ensures that each agent covers a specific region of the environment. Simultaneously, the agents perform sweeping operations, which involve revisiting previously covered areas to ensure that no areas are missed.
Input-to-State Stability:
One of the challenges in cooperative coverage control is ensuring input-to-state stability. The book proposes a theoretical framework that guarantees input-to-state stability for the distributed sweep coverage algorithm. This stability ensures that the algorithm maintains the desired coverage performance even in the presence of environmental changes or agent failures.
Evaluation of Coverage Performance:
To evaluate the coverage performance of the distributed sweep coverage algorithm, the book proposes an estimation method. This method involves comparing the actual coverage time with the optimal coverage time, which is determined based on the geometry of the environment and the desired coverage objective. By estimating the error between the actual coverage time and the optimal time, the book provides insights into the coverage performance of the algorithm.
Application Scenarios:
Three application scenarios are presented to demonstrate the advantages of cooperative coverage control approaches in missile interception, intelligent transportation systems, and environment monitoring, respectively. These scenarios highlight the practical applications of collaborative coverage control in real-world scenarios.
Conclusion:
In conclusion, this book provides a comprehensive exploration of cooperative coverage control approaches for multi-agent systems in uncertain environments. It presents a novel theoretical formulation of multi-agent coverage, develops a distributed sweep coverage algorithm, guarantees input-to-state stability, and evaluates coverage performance. The book's application scenarios demonstrate the practical benefits of collaborative coverage control in various fields, making it an invaluable resource for researchers, practitioners, and policymakers.

Weight: 250g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811676277
Edition number: 1st ed. 2021