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This book focuses on unhealthy cyber-physical systems. Consisting
of 14 chapters, it discusses recognizing the beginning of the
fault, diagnosing the appearance of the fault, and stopping the
system or switching to a special control mode known as
fault-tolerant control. Each chapter includes the background,
motivation, quantitative development (equations), and case
studies/illustration/tutorial (simulations, experiences, curves,
tables, etc.). Readers can easily tailor the techniques presented
to accommodate their ad hoc applications.
This book presents solutions to control problems in a number of
robotic systems and provides a wealth of worked-out examples with
full analytical and numerical details, graphically illustrated to
aid in reader comprehension. It also presents relevant studies on
and applications of robotic system control approaches, as well as
the latest findings from interdisciplinary theoretical studies.
Featuring chapters on advanced control (fuzzy, neural,
backstepping, sliding mode, adaptive, predictive, diagnosis, and
fault-tolerant control), the book will equip readers to easily
tailor the techniques to their own applications. Accordingly, it
offers a valuable resource for researchers, engineers, and students
in the field of robotic systems.
This book focuses on unhealthy cyber-physical systems. Consisting
of 14 chapters, it discusses recognizing the beginning of the
fault, diagnosing the appearance of the fault, and stopping the
system or switching to a special control mode known as
fault-tolerant control. Each chapter includes the background,
motivation, quantitative development (equations), and case
studies/illustration/tutorial (simulations, experiences, curves,
tables, etc.). Readers can easily tailor the techniques presented
to accommodate their ad hoc applications.
This book presents solutions to control problems in a number of
robotic systems and provides a wealth of worked-out examples with
full analytical and numerical details, graphically illustrated to
aid in reader comprehension. It also presents relevant studies on
and applications of robotic system control approaches, as well as
the latest findings from interdisciplinary theoretical studies.
Featuring chapters on advanced control (fuzzy, neural,
backstepping, sliding mode, adaptive, predictive, diagnosis, and
fault-tolerant control), the book will equip readers to easily
tailor the techniques to their own applications. Accordingly, it
offers a valuable resource for researchers, engineers, and students
in the field of robotic systems.
This book highlights relevant studies and applications in the area
of robotics, which reflect the latest research, from
interdisciplinary theoretical studies and computational algorithm
development, to representative applications. It presents chapters
on advanced control, such as fuzzy, neural, backstepping, sliding
mode, adaptive, predictive, diagnosis and fault tolerant control
etc. and addresses topics including cloud robotics, cable-driven
robots, two-wheeled robots, mobile robots, swarm robots, hybrid
vehicle, and drones. Each chapter employs a uniform structure:
background, motivation, quantitative development (equations), case
studies/illustration/tutorial (simulations, experiences, curves,
tables, etc.), allowing readers to easily tailor the techniques to
their own applications.
This book presents essential studies and applications in the
context of sliding mode control, highlighting the latest findings
from interdisciplinary theoretical studies, ranging from
computational algorithm development to representative applications.
Readers will learn how to easily tailor the techniques to
accommodate their ad hoc applications. To make the content as
accessible as possible, the book employs a clear route in each
paper, moving from background to motivation, to quantitative
development (equations), and lastly to case
studies/illustrations/tutorials (simulations, experiences, curves,
tables, etc.). Though primarily intended for graduate students,
professors and researchers from related fields, the book will also
benefit engineers and scientists from industry.
This book presents essential studies and applications in the
context of sliding mode control, highlighting the latest findings
from interdisciplinary theoretical studies, ranging from
computational algorithm development to representative applications.
Readers will learn how to easily tailor the techniques to
accommodate their ad hoc applications. To make the content as
accessible as possible, the book employs a clear route in each
paper, moving from background to motivation, to quantitative
development (equations), and lastly to case
studies/illustrations/tutorials (simulations, experiences, curves,
tables, etc.). Though primarily intended for graduate students,
professors and researchers from related fields, the book will also
benefit engineers and scientists from industry.
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