Networked And Distributed Predictive Control

Author : Panagiotis D. Christofides,Jinfeng Liu,David Muñoz de la Peña
Publisher : Springer Science & Business Media
Page : 253 pages
File Size : 45,6 Mb
Release : 2011-04-07
Category : Technology & Engineering
ISBN : 9780857295828

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Networked and Distributed Predictive Control by Panagiotis D. Christofides,Jinfeng Liu,David Muñoz de la Peña Pdf

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.

Author : Panagiotis D. Christofides,Jinfeng Liu,David Munoz de la Pena
Publisher : Unknown
Page : 260 pages
File Size : 53,7 Mb
Release : 2011-04-01
Category : Electronic
ISBN : 0857295837

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Networked and Distributed Predictive Control by Panagiotis D. Christofides,Jinfeng Liu,David Munoz de la Pena Pdf

Author : Yuanyuan Zou,Shaoyuan Li
Publisher : Springer Nature
Page : 159 pages
File Size : 52,7 Mb
Release : 2022-10-03
Category : Technology & Engineering
ISBN : 9789811960840

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Distributed Cooperative Model Predictive Control of Networked Systems by Yuanyuan Zou,Shaoyuan Li Pdf

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.

Author : José M. Maestre,Rudy R. Negenborn
Publisher : Springer Science & Business Media
Page : 601 pages
File Size : 46,7 Mb
Release : 2013-11-10
Category : Technology & Engineering
ISBN : 9789400770065

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Distributed Model Predictive Control Made Easy by José M. Maestre,Rudy R. Negenborn Pdf

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.

Author : Groß, Dominic
Publisher : kassel university press GmbH
Page : 176 pages
File Size : 55,9 Mb
Release : 2015-02-25
Category : Electronic
ISBN : 9783862199105

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Distributed Model Predictive Control with Event-Based Communication by Groß, Dominic Pdf

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.

Author : Shaoyuan Li,Yi Zheng
Publisher : John Wiley & Sons
Page : 543 pages
File Size : 48,9 Mb
Release : 2017-05-02
Category : Science
ISBN : 9781118921593

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Distributed Model Predictive Control for Plant-Wide Systems by Shaoyuan Li,Yi Zheng Pdf

DISTRIBUTED MODEL PREDICTIVE CONTROL FOR PLANT-WIDE SYSTEMS DISTRIBUTED MODEL PREDICTIVE CONTROL FOR PLANT-WIDE SYSTEMS In this book, experienced researchers gave a thorough explanation of distributed model predictive control (DMPC): its basic concepts, technologies, and implementation in plant-wide systems. Known for its error tolerance, high flexibility, and good dynamic performance, DMPC is a popular topic in the control field and is widely applied in many industries. To efficiently design DMPC systems, readers will be introduced to several categories of coordinated DMPCs, which are suitable for different control requirements, such as network connectivity, error tolerance, performance of entire closed-loop systems, and calculation of speed. Various real-life industrial applications, theoretical results, and algorithms are provided to illustrate key concepts and methods, as well as to provide solutions to optimize the global performance of plant-wide systems. Features system partition methods, coordination strategies, performance analysis, and how to design stabilized DMPC under different coordination strategies. Presents useful theories and technologies that can be used in many different industrial fields, examples include metallurgical processes and high-speed transport. Reflects the authors’ extensive research in the area, providing a wealth of current and contextual information. Distributed Model Predictive Control for Plant-Wide Systems is an excellent resource for researchers in control theory for large-scale industrial processes. Advanced students of DMPC and control engineers will also find this as a comprehensive reference text.

Author : Felix Berkel
Publisher : Logos Verlag Berlin
Page : 0 pages
File Size : 51,9 Mb
Release : 2019
Category : Predictive control
ISBN : 3832549358

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Contributions to Event-triggered and Distributed Model Predictive Control by Felix Berkel Pdf

This thesis deals with event-triggered model predictive control (MPC) strategies for constrained networked and distributed control systems. A networked control system usually consists of spatially distributed sensors, actuators and controllers that communicate over a shared communication network. Event-triggered control approaches consider the network utilization in the controller design to provide a compromise between control performance and communication effort. In this thesis a holistic output-based MPC scheme for constrained linear systems with event-triggered communication over the sensor-to-controller and controller-to-actuator channels of a network is presented. The proposed approach can be applied to centralized as well as decentralized setups and handles bounded time-varying sampling intervals and transmission delays for the control of constrained sampled-data systems. In distributed control set-ups the overall plant is decomposed into subsystems which are controlled by local controllers. Different distributed model predictive control (DMPC) approaches with reduced communication effort are presented in this thesis. The first approach is non-iterative and uses event-triggered communication for the exchange of state measurements. In the second approach, an event-triggered cooperation strategy for DMPC based on distributed optimization is introduced. Finally, an economic DMPC scheme for linear periodically time-varying systems which is motivated by two real-world applications, the control of a water distribution network and a medium voltage power grid, is presented.

Author : Shaoyuan Li,Yi Zheng,Binqiang Xue
Publisher : Springer Nature
Page : 273 pages
File Size : 45,5 Mb
Release : 2023-06-30
Category : Technology & Engineering
ISBN : 9789819902682

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Intelligent Optimal Control for Distributed Industrial Systems by Shaoyuan Li,Yi Zheng,Binqiang Xue Pdf

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.

Author : Jan Lunze
Publisher : Springer Science & Business Media
Page : 405 pages
File Size : 49,7 Mb
Release : 2013-07-06
Category : Technology & Engineering
ISBN : 9783319011318

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Control Theory of Digitally Networked Dynamic Systems by Jan Lunze Pdf

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.

Author : Alberto Bemporad,Maurice Heemels,Mikael Vejdemo-Johansson
Publisher : Springer Science & Business Media
Page : 373 pages
File Size : 55,6 Mb
Release : 2010-10-14
Category : Mathematics
ISBN : 9780857290328

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Networked Control Systems by Alberto Bemporad,Maurice Heemels,Mikael Vejdemo-Johansson Pdf

This book nds its origin in the WIDE PhD School on Networked Control Systems, which we organized in July 2009 in Siena, Italy. Having gathered experts on all the aspects of networked control systems, it was a small step to go from the summer school to the book, certainly given the enthusiasm of the lecturers at the school. We felt that a book collecting overviewson the important developmentsand open pr- lems in the eld of networked control systems could stimulate and support future research in this appealing area. Given the tremendouscurrentinterests in distributed control exploiting wired and wireless communication networks, the time seemed to be right for the book that lies now in front of you. The goal of the book is to set out the core techniques and tools that are ava- able for the modeling, analysis and design of networked control systems. Roughly speaking, the book consists of three parts. The rst part presents architectures for distributed control systems and models of wired and wireless communication n- works. In particular, in the rst chapter important technological and architectural aspects on distributed control systems are discussed. The second chapter provides insight in the behavior of communication channels in terms of delays, packet loss and information constraints leading to suitable modeling paradigms for commu- cation networks.

Author : Anthony Tri Tran C.,Quang Ha
Publisher : Springer
Page : 236 pages
File Size : 47,8 Mb
Release : 2018-03-06
Category : Technology & Engineering
ISBN : 9789811084096

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A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems by Anthony Tri Tran C.,Quang Ha Pdf

This book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It introduces the concept of dissipation-based quadratic constraint for developing attractivity assurance methods for interconnected systems. In order to develop these methods, distributed and decentralized architectures are employed, whereby the communication between subsystems is fully connected, partially connected, or completely disconnected. Given that the control inputs are entirely or partially decoupled between subsystems and no additional constraints are imposed on the interactive variables beyond the coupling constraint itself, the proposed approaches can be used with various types of systems and applications. Further, the book describes how the effects of coupling delays and data losses in device networks are resolved. From a practical perspective, the innovations presented are of benefit in applications in a broad range of fields, including the process and manufacturing industries, networked robotics, and network-centric systems such as chemical process systems, power systems, telecommunication networks, transportation networks, and, no less importantly, supply chain automation.

Author : Yuanqing Xia,Mengyin Fu,Guo-Ping Liu
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 41,9 Mb
Release : 2011-03-14
Category : Technology & Engineering
ISBN : 9783642179242

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Analysis and Synthesis of Networked Control Systems by Yuanqing Xia,Mengyin Fu,Guo-Ping Liu Pdf

Analysis and Synthesis of Networked Control Systems focuses on essential aspects of this field, including quantization over networks, data fusion over networks, predictive control over networks and fault detection over networks. The networked control systems have led to a complete new range of real-world applications. In recent years, the techniques of Internet of Things are developed rapidly, the research of networked control systems plays a key role in Internet of Things. The book is self-contained, providing sufficient mathematical foundations for understanding the contents of each chapter. It will be of significant interest to scientists and engineers engaged in the field of Networked Control Systems. Dr. Yuanqing Xia, a professor at Beijing Institute of Technology, has been working on control theory and its applications for over ten years.

Author : Paolo Varutti
Publisher : Unknown
Page : 136 pages
File Size : 53,6 Mb
Release : 2014
Category : Electronic
ISBN : 3844028013

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Model Predictive Control for Nonlinear Networked Control Systems by Paolo Varutti Pdf

Author : Matthew Ellis,Jinfeng Liu,Panagiotis D. Christofides
Publisher : Springer
Page : 311 pages
File Size : 41,7 Mb
Release : 2016-07-27
Category : Technology & Engineering
ISBN : 9783319411088

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Economic Model Predictive Control by Matthew Ellis,Jinfeng Liu,Panagiotis D. Christofides Pdf

This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes: Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics. The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples. The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application. The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.

Author : Eloy Garcia,Panos J. Antsaklis,Luis A. Montestruque
Publisher : Springer
Page : 382 pages
File Size : 44,8 Mb
Release : 2014-08-08
Category : Science
ISBN : 9783319078038

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Model-Based Control of Networked Systems by Eloy Garcia,Panos J. Antsaklis,Luis A. Montestruque Pdf

This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS. The overall performance of NCS considers the appropriate use of network resources, particularly network bandwidth, in conjunction with the desired response of the system being controlled. The book begins with a detailed description of the basic MB-NCS architecture that provides stability conditions in terms of state feedback updates. It also covers typical problems in NCS such as network delays, network scheduling, and data quantization, as well as more general control problems such as output feedback control, nonlinear systems stabilization, and tracking control. Key features and topics include: Time-triggered and event-triggered feedback updates Stabilization of uncertain systems subject to time delays, quantization, and extended absence of feedback Optimal control analysis and design of model-based networked systems Parameter identification and adaptive stabilization of systems controlled over networks The MB-NCS approach to decentralized control of distributed systems Model-Based Control of Networked Systems will appeal to researchers, practitioners, and graduate students interested in the control of networked systems, distributed systems, and systems with limited feedback.