Distributed Cooperative Model Predictive Control of Networked Systems

This book explores the development of distributed model predictive control (DMPC) of networked systems, focusing on designing efficient DMPCs that can be coordinated asynchronously with the increasing effectiveness of event-triggering mechanisms. It is intended for researchers, developers, control engineers, and others interested in control theory and distributed MPC.

Format: Hardback
Length: 152 pages
Publication date: 06 October 2022
Publisher: Springer Verlag, Singapore

This book is a groundbreaking exploration of the development of distributed model predictive control (DMPC) for networked systems, driven by the quest to optimize computation and communication resources. Its significant innovation lies in demonstrating how to design efficient DMPCs that can seamlessly coordinate asynchronously with the growing effectiveness of the event-triggering mechanism. By leveraging this coordination, the book empowers the creation of event-triggered DMPCs that can be tailored to meet diverse requirements, such as improving control performance, extending to interconnected networked systems, and more.

This comprehensive resource is of immense interest to a wide range of individuals and professionals. It appeals to scholars and researchers in academic institutes, where they can delve into the intricacies of control theory and its applications. It also captivates those involved in the development of control systems in research and development (R&D) institutes and companies, where they can harness the power of DMPC to create cutting-edge solutions. Control engineers and practitioners who are actively involved in implementing control algorithms will find this book invaluable as a reference guide and a source of practical insights. Moreover, individuals with a passion for distributed MPC and its potential to revolutionize the way we control complex systems will find this book a captivating read.

In summary, this book represents a significant milestone in the field of control theory and its application to networked systems. Its innovative approach and practical insights make it a must-read for anyone seeking to advance their understanding and expertise in this domain.

Weight: 424g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811960833
Edition number: 1st ed. 2022