Optimal and Robust Scheduling for Networked Control Systems - Phil Barber

Optimal and Robust Scheduling for Networked Control Systems
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Autor: Phil Barber

 Wydawnictwo: CRC Press Inc.
ISBN: 9781466569546
EAN:
Format: ...
Oprawa: twarda
Stron: 280
Data wydania: 2013-04-01
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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. "The book deals with a very interesting topic for the automotive industry. The methods and results can be extended to modern cyber physical systems from all domains. Up until now, a very conservative approach was used in the handling of distributed embedded systems. With the presented methods, it may be possible to take into account the known weaknesses and limitations of networked systems already in the design of controllers and functions early in the development process." -Dr. Josef Zehetner, Virtual Vehicle Research Center, Graz, Austria "The book is the first complete treatment that unifies existing techniques to handle networked control systems. In particular, the co-design of the control and communication network scheduling is masterfully explained. This contrasts with most existing literature, where control and communication network scheduling are usually considered separately. ... The selection of the contents is spot on. The authors start from a motivating chapter and then ease in the reader to more technical results with the use of illustrative examples. ... The authors do a nice job explaining and illustrating the concepts in the chapters by using several examples and explanatory figures. ... The material is well presented and would captivate the interest of graduate students, researchers, and control engineers. ... This is the first book on a hot topic in the area of networked control systems where a unified framework is presented. The authors skillfully combine tools from robust control theory and communication theory to co-design both the control and network configuration that guarantee closed-loop stability and performance. The book is well written and contains several examples and an interesting application to automotive control systems." -Seddik M. Djouadi, University of Tennessee, Knoxville, USA "There is a well-known gap in tools available from control theory and the tools used for in-vehicle network analysis. This book successfully attempts to bridge this gap.

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Phil Barber