Optimal and Robust Scheduling for Networked Control Systems (Automation and Control Engineering)
Stefano Longo, Tingli Su, Guido Herrmann, Phil Barber
ISBN 10: 1466569549 ISBN 13: 9781466569546
Editorial: CRC Press 26 M, 2013
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Optimal and Robust Scheduling for Networked Control Systems (Automation and Control Engineering) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . N° de ref. del artículo 7719-9781466569546
Sinopsis:
Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components―controllers, sensors, and actuators―in a networked control system. It is common practice in industry to solve such problems heuristically, because the few theoretical results available are not comprehensive and cannot be readily applied by practitioners. This book offers a solution to the deterministic scheduling problem that is based on rigorous control theoretical tools but also addresses practical implementation issues. Helping to bridge the gap between control theory and computer science, it suggests that the consideration of communication constraints at the design stage will significantly improve the performance of the control system.
Technical Results, Design Techniques, and Practical Applications
The book brings together well-known measures for robust performance as well as fast stochastic algorithms to assist designers in selecting the best network configuration and guaranteeing the speed of offline optimization. The authors propose a unifying framework for modelling NCSs with time-triggered communication and present technical results. They also introduce design techniques, including for the codesign of a controller and communication sequence and for the robust design of a communication sequence for a given controller. Case studies explore the use of the FlexRay TDMA and time-triggered control area network (CAN) protocols in an automotive control system.
Practical Solutions to Your Time-Triggered Communication Problems
This unique book develops ready-to-use engineering tools for large-scale control system integration with a focus on robustness and performance. It emphasizes techniques that are directly applicable to time-triggered communication problems in the automotive industry and in avionics, robotics, and automated manufacturing.
Acerca del autor:
Dr. Stefano Longo is currently a lecturer in vehicles electrical and electronic systems in the Department of Automotive Engineering at Cranfield University, UK. His work and his research interests gravitate around the problem of implementing advanced control algorithms in hardware, where the controller design and the hardware implementation are not seen as two separate and decoupled problems, but as a single interconnected one.
Dr. Tingli Su is a researcher at the Beijing Institute of Technology. In 2009 she was invited by the University of Bristol as an exchange Ph.D. student, sponsored by the Chinese Scholarship Council during the first year and Jaguar & Land Rover Research the following year. Within the exchange period, she explored the field of nonlinear network control systems (NCS) with communication constraints.
Dr. Guido Herrmann is a reader in control and dynamics in the Department of Mechanical Engineering at the University of Bristol. His research considers the development and application of novel, robust, and nonlinear control systems. He has been collaborating with several institutions in Australia, China, Malaysia, Singapore, and the USA and has been working with companies such as Western Digital and Jaguar Land Rover.
Dr. Phil Barber, BSc Ph.D. CEng MIET FIMechE, is currently the technical specialist for chassis systems and vehicle capability research at Jaguar Land Rover. Current interests include vehicle dynamics, state estimation, distributed and networked systems for real-time vehicle control, and regenerative braking. A member of the Institution of Engineering and Technology, he serves on the executive team of their Automotive and Road Transport Systems Network.
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Detalles bibliográficos
Título: Optimal and Robust Scheduling for Networked ...
Editorial: CRC Press 26 M
Año de publicación: 2013
Encuadernación: Hardcover
Condición: Very Good
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Optimal and Robust Scheduling for Networked Control Systems (Automation and Control Engineering)
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ISBN 10: 1466569549
ISBN 13: 9781466569546
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Hardcover. Condición: Very Good. 1st Edition. Hardcover, xxxi + 245 pages, NOT ex-library. Fine interior, clean and bright throughout, with unmarked text, free of inscriptions and stamps, firmly bound. Boards show gentle indentations to spine ends, a touch of cosmetic wear to the protective laminate. Issued without a dust jacket. -- This book offers a comprehensive exploration of optimal and robust scheduling methodologies for networked control systems (NCSs). It focuses on how to design and implement performance-oriented, reliable, and robust controllers across various communication networks, such as those used in automotive and aerospace industries. Combining tools from control theory and communication theory, the book bridges gaps between control system design and network scheduling, ensuring time-deterministic behavior while maintaining closed-loop stability. With practical examples, the book illustrates how controllers, sensors, and actuators are integrated into NCSs, emphasizing robustness and real-world applications such as hardware-in-the-loop testing in automotive systems. Targeted towards researchers, engineers, and students, the book provides essential insights into the co-design of control and communication networks, as well as real-time vehicle control systems. Nº de ref. del artículo: 010712
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Stefano Longo is currently a lecturer in vehicles electrical and electronic systems in the Department of Automotive Engineering at Cranfield University, UK. His work and his research interests gravitate around the problem of implemen. Nº de ref. del artículo: 595957018
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