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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.
Product Details :
Genre |
: Technology & Engineering |
Author |
: Yuanyuan Zou |
Publisher |
: Springer Nature |
Release |
: 2022-10-03 |
File |
: 159 Pages |
ISBN-13 |
: 9789811960840 |
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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.
Product Details :
Genre |
: Technology & Engineering |
Author |
: Dong Yue |
Publisher |
: Springer Nature |
Release |
: 2021-02-15 |
File |
: 196 Pages |
ISBN-13 |
: 9789813367180 |
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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.
Product Details :
Genre |
: Technology & Engineering |
Author |
: José M. Maestre |
Publisher |
: Springer Science & Business Media |
Release |
: 2013-11-10 |
File |
: 601 Pages |
ISBN-13 |
: 9789400770065 |
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BOOK EXCERPT:
This book offers a comprehensive, easy-to-understand overview of receding-horizon control for nonlinear networks. It presents novel general strategies that can simultaneously handle general nonlinear dynamics, system constraints, and disturbances arising in networked and large-scale systems and which can be widely applied. These receding-horizon-control-based strategies can achieve sub-optimal control performance while ensuring closed-loop stability: a feature attractive to engineers. The authors address the problems of networked and distributed control step-by-step, gradually increasing the level of challenge presented. The book first introduces the state-feedback control problems of nonlinear networked systems and then studies output feedback control problems. For large-scale nonlinear systems, disturbance is considered first, then communication delay separately, and lastly the simultaneous combination of delays and disturbances. Each chapter of this easy-to-follow book not only proposes and analyzes novel control algorithms and/or strategies, but also rigorously develops provably correct design conditions. It also provides concise, illustrative examples to demonstrate the implementation procedure, making it invaluable both for academic researchers and engineering practitioners.
Product Details :
Genre |
: Technology & Engineering |
Author |
: Huiping Li |
Publisher |
: Springer |
Release |
: 2016-10-22 |
File |
: 194 Pages |
ISBN-13 |
: 9783319482903 |
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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.
Product Details :
Genre |
: |
Author |
: Groß, Dominic |
Publisher |
: kassel university press GmbH |
Release |
: 2015-02-25 |
File |
: 176 Pages |
ISBN-13 |
: 9783862199105 |
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BOOK EXCERPT:
The book gives an introduction to networked control systems and describes new modeling paradigms, analysis methods for event-driven, digitally networked systems, and design methods for distributed estimation and control. Networked model predictive control is developed as a means to tolerate time delays and packet loss brought about by the communication network. In event-based control the traditional periodic sampling is replaced by state-dependent triggering schemes. Novel methods for multi-agent systems ensure complete or clustered synchrony of agents with identical or with individual dynamics. The book includes numerous references to the most recent literature. Many methods are illustrated by numerical examples or experimental results.
Product Details :
Genre |
: Technology & Engineering |
Author |
: Jan Lunze |
Publisher |
: Springer Science & Business Media |
Release |
: 2013-07-06 |
File |
: 405 Pages |
ISBN-13 |
: 9783319011318 |
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BOOK EXCERPT:
Product Details :
Genre |
: |
Author |
: Wenjun Xiong |
Publisher |
: Springer Nature |
Release |
: |
File |
: 229 Pages |
ISBN-13 |
: 9789819709267 |
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BOOK EXCERPT:
This book analyzes coalitional control schemes by incorporating concepts of cooperative game theory into a distributed control framework. It considers a networked architecture where the nodes are the agents and the edges are their communication links and either the agents or the links are established as the players of cooperative games related to the cost function of the coalitional schemes. The book discusses various cooperative game theory tools that are used to measure/analyze the players’ features, impose constraints on them, provide alternative methods of game computation, detect critical players inside the control scheme, and perform system partitioning of large-scale systems, such as the Barcelona drinking water network, which is described in a case study.
Product Details :
Genre |
: Technology & Engineering |
Author |
: Francisco Javier Muros |
Publisher |
: Springer |
Release |
: 2019-04-24 |
File |
: 233 Pages |
ISBN-13 |
: 9783030104894 |
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BOOK EXCERPT:
This book is a printed edition of the Special Issue "New Directions on Model Predictive Control" that was published in Mathematics
Product Details :
Genre |
: Technology & Engineering |
Author |
: Jinfeng Liu |
Publisher |
: MDPI |
Release |
: 2019-01-16 |
File |
: 231 Pages |
ISBN-13 |
: 9783038974208 |
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BOOK EXCERPT:
This book focuses on the distributed control and estimation of large-scale networked distributed systems and the approach of distributed model predictive and moving horizon estimation. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. This is achieved by providing an in-depth study on several major topics such as the state estimation and control design for the networked system with considering time-delay, data-drop, etc., Distributed MPC design for improving the performance of the overall networked system, which includes several classic strategies for different scenarios, details of the application of the distributed model predictive control to smart grid system and distributed water network. The comprehensive and systematic treatment of theoretical and practical issues in distributed MPC for networked systems is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in distributed estimation and optimization of distributed networked systems. The book benefits researchers, engineers, and graduate students in the fields of chemical engineering, control theory and engineering, electrical and electronic engineering, chemical engineering, and computer engineering, etc.
Product Details :
Genre |
: Technology & Engineering |
Author |
: Shaoyuan Li |
Publisher |
: Springer Nature |
Release |
: 2023-06-30 |
File |
: 273 Pages |
ISBN-13 |
: 9789819902682 |