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Distributed Cooperative Model Predictive Control of Networked Systems

2022-10-03 Technology & Engineering
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Release : 2022-10-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 844/5 ( reviews)

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Book Synopsis Distributed Cooperative Model Predictive Control of Networked Systems by : Yuanyuan Zou

Download or read book Distributed Cooperative Model Predictive Control of Networked Systems written by Yuanyuan Zou. This book was released on 2022-10-03. Available in PDF, EPUB and Kindle. Book excerpt: This book is inspired by the development of distributed model predictive control of networked systems to save computation and communication sources. The significant new contribution is to show how to design efficient DMPCs that can be coordinated asynchronously with the increasing effectiveness of the event-triggering mechanism and how to improve the event-triggered DMPC for different requirements improvement of control performance, extension to interconnected networked systems, etc. The book is likely to be of interest to the persons who are engaged in researching control theory in academic institutes, the persons who go in for developing control systems in R&D institutes or companies, the control engineers who are engaged in the implementation of control algorithms, and people who are interested in the distributed MPC.

Networked and Distributed Predictive Control

2011-04-07 Technology & Engineering
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Release : 2011-04-07
Genre : Technology & Engineering
Kind : eBook
Book Rating : 829/5 ( reviews)

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Book Synopsis Networked and Distributed Predictive Control by : Panagiotis D. Christofides

Download or read book Networked and Distributed Predictive Control written by Panagiotis D. Christofides. This book was released on 2011-04-07. Available in PDF, EPUB and Kindle. Book excerpt: Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems – the first book to do so. The design of model predictive control systems using Lyapunov-based techniques accounting for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. This shows how networked control can augment dedicated control systems in a natural way and takes advantage of additional, potentially asynchronous and delayed measurements to maintain closed loop stability and significantly to improve closed-loop performance. The text then shifts focus to the design of distributed predictive control systems that cooperate efficiently in computing optimal manipulated input trajectories that achieve desired stability, performance and robustness specifications but spend a fraction of the time required by centralized control systems. Key features of this book include: • new techniques for networked and distributed control system design; • insight into issues associated with networked and distributed predictive control and their solution; • detailed appraisal of industrial relevance using computer simulation of nonlinear chemical process networks and wind- and solar-energy-generation systems; and • integrated exposition of novel research topics and rich resource of references to significant recent work. A full understanding of Networked and Distributed Predictive Control requires a basic knowledge of differential equations, linear and nonlinear control theory and optimization methods and the book is intended for academic researchers and graduate students studying control and for process control engineers. The constant attention to practical matters associated with implementation of the theory discussed will help each of these groups understand the application of the book’s methods in greater depth.

Distributed Model Predictive Control Made Easy

2013-11-10 Technology & Engineering
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Release : 2013-11-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 065/5 ( reviews)

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Book Synopsis Distributed Model Predictive Control Made Easy by : José M. Maestre

Download or read book Distributed Model Predictive Control Made Easy written by José M. Maestre. This book was released on 2013-11-10. Available in PDF, EPUB and Kindle. Book excerpt: The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems. This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.

Distributed Model Predictive Control with Event-Based Communication

2015-02-25
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Release : 2015-02-25
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Kind : eBook
Book Rating : 10X/5 ( reviews)

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Book Synopsis Distributed Model Predictive Control with Event-Based Communication by : Groß, Dominic

Download or read book Distributed Model Predictive Control with Event-Based Communication written by Groß, Dominic. This book was released on 2015-02-25. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, several algorithms for distributed model predictive control over digital communication networks with parallel computation are developed and analyzed. Distributed control aims at efficiently controlling large scale dynamical systems which consist of interconnected dynamical systems by means of communicating local controllers. Such distributed control problems arise in applications such as chemical processes, formation control, and control of power grids. In distributed model predictive control the underlying idea is to solve a large scale model predictive control problem in a distributed fashion in order to achieve faster computation and better robustness against local failures. Distributed model predictive control often heavily relies on frequent communication between the local model predictive controllers. However, a digital communication network may induce uncertainties such as a communication delays, especially if the load on the communication network is high. One topic of this thesis is to develop a distributed model predictive control algorithm for subsystems interconnected by constraints and common control goals which is robust with respect to time-varying communication delays.

Distributed Cooperative Control and Communication for Multi-agent Systems

2021-02-15 Technology & Engineering
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Release : 2021-02-15
Genre : Technology & Engineering
Kind : eBook
Book Rating : 180/5 ( reviews)

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Book Synopsis Distributed Cooperative Control and Communication for Multi-agent Systems by : Dong Yue

Download or read book Distributed Cooperative Control and Communication for Multi-agent Systems written by Dong Yue. This book was released on 2021-02-15. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The approaches of this book consist of model-based and data-driven control such as predictive control, event-triggered control, optimal control, adaptive dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time stability analysis, cooperative attitude control of multiple rigid bodies. Some fundamental knowledge prepared to read this book is finite-time stability theory, event-triggered sampling mechanism, adaptive dynamic programming and optimal control.

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