Intelligent Optimal Control for Distributed Industrial Systems

Intelligent Optimal Control for Distributed Industrial Systems PDF Author: Shaoyuan Li
Publisher:
ISBN: 9789819902705
Category :
Languages : en
Pages : 0

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Book Description
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. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Intelligent Optimal Control for Distributed Industrial Systems

Intelligent Optimal Control for Distributed Industrial Systems PDF Author: Shaoyuan Li
Publisher:
ISBN: 9789819902705
Category :
Languages : en
Pages : 0

Get Book

Book Description
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. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Intelligent Optimal Control for Distributed Industrial Systems

Intelligent Optimal Control for Distributed Industrial Systems PDF Author: Shaoyuan Li
Publisher: Springer Nature
ISBN: 9819902681
Category : Technology & Engineering
Languages : en
Pages : 273

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Book Description
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.

Optimal Design of Distributed Control and Embedded Systems

Optimal Design of Distributed Control and Embedded Systems PDF Author: Arben Çela
Publisher: Springer Science & Business Media
ISBN: 3319027298
Category : Technology & Engineering
Languages : en
Pages : 288

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Book Description
Optimal Design of Distributed Control and Embedded Systems focuses on the design of special control and scheduling algorithms based on system structural properties as well as on analysis of the influence of induced time-delay on systems performances. It treats the optimal design of distributed and embedded control systems (DCESs) with respect to communication and calculation-resource constraints, quantization aspects, and potential time-delays induced by the associated communication and calculation model. Particular emphasis is put on optimal control signal scheduling based on the system state. In order to render this complex optimization problem feasible in real time, a time decomposition is based on periodicity induced by the static scheduling is operated. The authors present a co-design approach which subsumes the synthesis of the optimal control laws and the generation of an optimal schedule of control signals on real-time networks as well as the execution of control tasks on a single processor. The authors also operate a control structure modification or a control switching based on a thorough analysis of the influence of the induced time-delay system influence on stability and system performance in order to optimize DCES performance in case of calculation and communication resource limitations. Although the richness and variety of classes of DCES preclude a completely comprehensive treatment or a single “best” method of approaching them all, this co-design approach has the best chance of rendering this problem feasible and finding the optimal or some sub-optimal solution. The text is rounded out with references to such applications as car suspension and unmanned vehicles. Optimal Design of Distributed Control and Embedded Systems will be of most interest to academic researchers working on the mathematical theory of DCES but the wide range of environments in which they are used also promotes the relevance of the text for control practitioners working in the avionics, automotive, energy-production, space exploration and many other industries.

Distributed Control and Optimization Technologies in Smart Grid Systems

Distributed Control and Optimization Technologies in Smart Grid Systems PDF Author: Fanghong Guo
Publisher: CRC Press
ISBN: 1351613979
Category : Science
Languages : en
Pages : 192

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Book Description
The book aims to equalize the theoretical involvement with industrial practicality and build a bridge between academia and industry by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems, with a special focus on micro grid systems. Each of the chapters is written and organized with an introductory section tailored to provide the essential background of the theories required. The text includes industrial applications to realistic renewable energy systems problems and illustrates the application of proposed toolsets to control and optimization of smart grid systems.

Applications of Intelligent Control to Engineering Systems

Applications of Intelligent Control to Engineering Systems PDF Author: Kimon P. Valavanis
Publisher: Springer Science & Business Media
ISBN: 9048130174
Category : Technology & Engineering
Languages : en
Pages : 427

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Book Description
This book reflects the work of top scientists in the field of intelligent control and its applications, prognostics, diagnostics, condition based maintenance and unmanned systems. It includes results, and presents how theory is applied to solve real problems.

Integrated Distributed Intelligent Systems in Manufacturing

Integrated Distributed Intelligent Systems in Manufacturing PDF Author: M. Rao
Publisher: Springer Science & Business Media
ISBN: 9780412543708
Category : Computers
Languages : en
Pages : 338

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Book Description
Intelligent Manufacturing is a new disciplinary field which applies computer science, artificial intelligence, mechanical engineering and systems science to industrial manufacturing processes. This book presents a new integration architecture for implementing real-time distributed intelligent manufacturing systems.

Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes

Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes PDF Author: Zhiwei Gao
Publisher: MDPI
ISBN: 3036506888
Category : Science
Languages : en
Pages : 514

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Book Description
The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation PDF Author: Zhou, Zude
Publisher: IGI Global
ISBN: 1605668656
Category : Computers
Languages : en
Pages : 407

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Book Description
"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.

Intelligent Systems: Theory, Research and Innovation in Applications

Intelligent Systems: Theory, Research and Innovation in Applications PDF Author: Ricardo Jardim-Goncalves
Publisher: Springer Nature
ISBN: 3030387046
Category : Technology & Engineering
Languages : en
Pages : 367

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Book Description
From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.

Software Engineering and Algorithms in Intelligent Systems

Software Engineering and Algorithms in Intelligent Systems PDF Author: Radek Silhavy
Publisher: Springer
ISBN: 3319911864
Category : Technology & Engineering
Languages : en
Pages : 486

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Book Description
This book presents new software engineering approaches and methods, discussing real-world problems and exploratory research that describes novel approaches, modern design techniques, hybrid algorithms and empirical methods. This book constitutes part of the refereed proceedings of the Software Engineering and Algorithms in Intelligent Systems Section of the 7th Computer Science On-line Conference 2018 (CSOC 2018), held in April 2018.