Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus

Platoon control and non-fragile quantized consensus for multi-agent systems are presented in this book, with distributed adaptive sliding mode control (SMC) algorithms proposed to guarantee strong string stability based on modified constant time headway (MCTH) policy.

Format: Paperback / softback
Length: 236 pages
Publication date: 14 June 2022
Publisher: Taylor & Francis Ltd

Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus is a comprehensive book that delves into the realm of designing platoon control and non-fragile quantized consensus for multi-agent systems. The primary focus of this publication lies in the introduction of distributed adaptive sliding mode control (SMC) algorithms, which are proposed to ensure robust string stability by leveraging a modified constant time headway (MCTH) policy. This policy addresses the unrealistic assumption prevalent in the existing literature, assuming that initial spacing, velocity, and acceleration errors are zero. By integrating SMC techniques with neural network and fuzzy logic system approximation methods, this monograph explores the intricate issue of platoon control, offering valuable insights and solutions.

The book begins by providing an overview of multi-agent systems, emphasizing their significance in various applications such as transportation, robotics, and military operations. It then delves into the fundamentals of platoon control, covering topics such as formation control, velocity coordination, and obstacle avoidance. The authors introduce the concept of non-fragile quantized consensus, which is crucial for ensuring the stability and reliability of multi-agent systems when they are subjected to uncertainties and external disturbances.

To achieve non-fragile quantized consensus, the book proposes distributed adaptive sliding mode control algorithms. These algorithms utilize a modified constant time headway policy, which adjusts the inter-agent spacing and velocity based on the current state of the system and the desired consensus. The authors demonstrate how these algorithms can be implemented in real-world scenarios, such as autonomous vehicles and robotic swarms.

Furthermore, the book discusses the challenges associated with platoon control and non-fragile quantized consensus, including the presence of uncertainties, external disturbances, and communication delays. The authors propose various techniques to address these challenges, such as adaptive control, robust optimization, and learning-based algorithms.

Throughout the book, the authors provide detailed explanations of the theoretical concepts and mathematical formulations involved in platoon control and non-fragile quantized consensus. They also include numerous examples and case studies to illustrate the practical applications of the proposed algorithms.

In conclusion, Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus is a valuable resource for researchers, engineers, and practitioners interested in developing advanced platoon control and non-fragile quantized consensus algorithms for multi-agent systems. The book offers a comprehensive coverage of the latest research results, theoretical foundations, and practical implementations, making it an essential tool for anyone working in this field.

Weight: 440g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032338316