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Optimal and robust scheduling for networked control systems [electronic resource] / Stefano Longo, Tingli Su, Guido Herrmann, Phil Barber.

By: Contributor(s): Material type: TextTextSeries: Automation and control engineering seriesPublication details: Boca Raton, Fla. : CRC Press, Taylor & Francis Group, [2013]Description: xxxi, 245 p. : illISBN:
  • 9781466569553 (ebook : PDF)
Subject(s): Genre/Form: Additional physical formats: No titleOnline resources: Available additional physical forms:
  • Also available in print edition.
Contents:
1. Introduction -- 2. Control of plants with limited communication -- 3. A general framework for NCS modeling -- 4. Controllability and observability -- 5. Communication sequence optimization -- 6. Optimal controller and schedule codesign -- 7. Optimal schedule design -- 8. Robust schedule design -- 9. Application to an automotive control system -- 10. Schedule design for nonlinear NCSs.
Summary: "This book offers a tool for optimal/robust control system integration via communication networks. This work is shaped around examples and relevant standards of the automotive industry for those examples but the concepts are readily extendable to any application that uses deterministic communication protocols between system components (avionic systems, robots, etc.). The underlying idea is to use the rigorous tools from optimal and robust multivariable control theory to solve the industrial scheduling problem in a transparent manner"-- Provided by publisher.
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Includes bibliographical references (p. 231-242) and index.

1. Introduction -- 2. Control of plants with limited communication -- 3. A general framework for NCS modeling -- 4. Controllability and observability -- 5. Communication sequence optimization -- 6. Optimal controller and schedule codesign -- 7. Optimal schedule design -- 8. Robust schedule design -- 9. Application to an automotive control system -- 10. Schedule design for nonlinear NCSs.

"This book offers a tool for optimal/robust control system integration via communication networks. This work is shaped around examples and relevant standards of the automotive industry for those examples but the concepts are readily extendable to any application that uses deterministic communication protocols between system components (avionic systems, robots, etc.). The underlying idea is to use the rigorous tools from optimal and robust multivariable control theory to solve the industrial scheduling problem in a transparent manner"-- Provided by publisher.

Also available in print edition.

Mode of access: World Wide Web.

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