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Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution
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Optimal and Robust Scheduling for Networked Control Systems (Paperback)
Loot Price: R2,483
Discovery Miles 24 830
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Optimal and Robust Scheduling for Networked Control Systems (Paperback)
Series: Automation and Control Engineering
Expected to ship within 12 - 17 working days
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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.
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