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Control of Complex Systems - Theory and Applications (Hardcover)
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Control of Complex Systems - Theory and Applications (Hardcover)
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In the era of cyber-physical systems, the area of control of
complex systems has grown to be one of the hardest in terms of
algorithmic design techniques and analytical tools. The 23
chapters, written by international specialists in the field, cover
a variety of interests within the broader field of learning,
adaptation, optimization and networked control. The editors have
grouped these into the following 5 sections: "Introduction and
Background on Control Theory", "Adaptive Control and Neuroscience",
"Adaptive Learning Algorithms", "Cyber-Physical Systems and
Cooperative Control", "Applications". The diversity of the research
presented gives the reader a unique opportunity to explore a
comprehensive overview of a field of great interest to control and
system theorists. This book is intended for researchers and control
engineers in machine learning, adaptive control, optimization and
automatic control systems, including Electrical Engineers, Computer
Science Engineers, Mechanical Engineers, Aerospace/Automotive
Engineers, and Industrial Engineers. It could be used as a text or
reference for advanced courses in complex control systems. *
Collection of chapters from several well-known professors and
researchers that will showcase their recent work * Presents
different state-of-the-art control approaches and theory for
complex systems * Gives algorithms that take into consideration the
presence of modelling uncertainties, the unavailability of the
model, the possibility of cooperative/non-cooperative goals and
malicious attacks compromising the security of networked teams *
Real system examples and figures throughout, make ideas concrete
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