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Distributed Control and Filtering for Industrial Systems (Hardcover)
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Distributed Control and Filtering for Industrial Systems (Hardcover)
Series: Control, Robotics and Sensors
Expected to ship within 10 - 15 working days
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In recent years technological advancements in the design and
fabrication of integrated circuits have led to the development of
cost effective, low power, thumb-size devices that can be used for
sensing/actuating, communication and computing. This trend is
enabling a surge of new applications for which pervasive network
architectures are being developed. A key feature of these systems
is that they are decentralized and communication among different
subsystems may be unreliable. From an engineering viewpoint, to
ensure correct operation, the theoretical analysis requires a
fundamental paradigm shift, as many of the typical assumptions of
systems and control theory cease to hold. "Distributed Control and
Filtering for Industrial Systems" provides an introduction to the
control and filtering algorithms devised for distributed
environments, with a particular emphasis on industrial
applications. Topics covered include control architectures for
interconnected systems, recent developments in distributed model
predictive control for interconnected networked systems, methods
for designing distributed linear quadratic controllers for various
classes of systems, designing distributed dynamic output-feedback
controllers, characterization of distributed consensus control
methods, distributed estimation techniques, distributed Kalman
filtering methods, experimental setups and simulation of
pilot-scale industrial processes.
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