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Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals (Hardcover, 1st ed. 2019)
Loot Price: R4,324
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Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals (Hardcover, 1st ed. 2019)
Series: Studies in Systems, Decision and Control, 170
Expected to ship within 12 - 17 working days
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This book introduces the principle theories and applications of
control and filtering problems to address emerging hot topics in
feedback systems. With the development of IT technology at the core
of the 4th industrial revolution, dynamic systems are becoming more
sophisticated, networked, and advanced to achieve even better
performance. However, this evolutionary advance in dynamic systems
also leads to unavoidable constraints. In particular, such elements
in control systems involve uncertainties,
communication/transmission delays, external noise, sensor faults
and failures, data packet dropouts, sampling and quantization
errors, and switching phenomena, which have serious effects on the
system's stability and performance. This book discusses how to deal
with such constraints to guarantee the system's design objectives,
focusing on real-world dynamical systems such as Markovian jump
systems, networked control systems, neural networks, and complex
networks, which have recently excited considerable attention. It
also provides a number of practical examples to show the
applicability of the presented methods and techniques. This book is
of interest to graduate students, researchers and professors, as
well as R&D engineers involved in control theory and
applications looking to analyze dynamical systems with constraints
and to synthesize various types of corresponding controllers and
filters for optimal performance of feedback systems.
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