Stefano Longo, Tingli Su, Guido Herrmann, Phil Barber

Optimal and Robust Scheduling for Networked Control Systems (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book tackles the problem of integrating controllers, sensors, and actuators in a networked control system. It offers a solution to the deterministic scheduling problem that is based on rigorous control theoretical tools but also addresses practical implementation issues. Bridging the gap between control theory and computer science, the book suggests that the consideration of communication constraints at the design stage will significantly improve the control system's performance. The authors develop ready-to-use engineering tools for large-scale control system integration with a focus on robustness and performance.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 280
• Erscheinungstermin: 3. September 2018
• Englisch
• ISBN-13: 9781351831871
• Artikelnr.: 54555504

Autorenporträt

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.