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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.
Most of the research and experiments in the fields of modeling and
control systems have spent significant efforts to find rules from
various complicated phenomena by principles, observations, measured
data, logic derivations. The rules are normally summarized as
concise and quantitative expressions or "models". "Identification"
provides mechanisms to establish the models and "control" provides
mechanisms to improve system performances.This book reflects the
relevant studies and applications in the area of renewable
energies, with the latest research from interdisciplinary
theoretical studies, computational algorithm development to
exemplary applications. It discusses how modeling and control
methods such as recurrent neural network, Pitch Angle Control,
Fuzzy control, Sliding Mode Control and others are used in
renewable systems. It covers topics as photovoltaic systems, wind
turbines, maximum power point tracking, batteries for renewable
energies, solar energy, thermal energy and so on. This book is
edited and written by leading experts in the field and offers an
ideal reference guide for researchers and engineers in the fields
of electrical/electronic engineering, control system and energy.
This book presents the most important findings from the 9th
International Conference on Modelling, Identification and Control
(ICMIC'17), held in Kunming, China on July 10-12, 2017. It covers
most aspects of modelling, identification, instrumentation, signal
processing and control, with a particular focus on the applications
of research in multi-agent systems, robotic systems, autonomous
systems, complex systems, and renewable energy systems. The book
gathers thirty comprehensively reviewed and extended contributions,
which help to promote evolutionary computation, artificial
intelligence, computation intelligence and soft computing
techniques to enhance the safety, flexibility and efficiency of
engineering systems. Taken together, they offer an ideal reference
guide for researchers and engineers in the fields of
electrical/electronic engineering, mechanical engineering and
communication engineering.
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 the most important findings from the 9th
International Conference on Modelling, Identification and Control
(ICMIC'17), held in Kunming, China on July 10-12, 2017. It covers
most aspects of modelling, identification, instrumentation, signal
processing and control, with a particular focus on the applications
of research in multi-agent systems, robotic systems, autonomous
systems, complex systems, and renewable energy systems. The book
gathers thirty comprehensively reviewed and extended contributions,
which help to promote evolutionary computation, artificial
intelligence, computation intelligence and soft computing
techniques to enhance the safety, flexibility and efficiency of
engineering systems. Taken together, they offer an ideal reference
guide for researchers and engineers in the fields of
electrical/electronic engineering, mechanical engineering and
communication engineering.
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.
The book offers a snapshot of the theories and applications of soft
computing in the area of complex systems modeling and control. It
presents the most important findings discussed during the 5th
International Conference on Modelling, Identification and Control,
held in Cairo, from August 31-September 2, 2013. The book consists
of twenty-nine selected contributions, which have been thoroughly
reviewed and extended before their inclusion in the volume. The
different chapters, written by active researchers in the field,
report on both current theories and important applications of
soft-computing. Besides providing the readers with soft-computing
fundamentals, and soft-computing based inductive
methodologies/algorithms, the book also discusses key industrial
soft-computing applications, as well as multidisciplinary solutions
developed for a variety of purposes, like windup control, waste
management, security issues, biomedical applications and many
others. It is a perfect reference guide for graduate students,
researchers and practitioners in the area of soft computing,
systems modeling and control.
This book describes the advances and applications in Sliding mode
control (SMC) which is widely used as a powerful method to tackle
uncertain nonlinear systems. The book is organized into 21 chapters
which have been organised by the editors to reflect the various
themes of sliding mode control. The book provides the reader with a
broad range of material from first principles up to the current
state of the art in the area of SMC and observation presented in a
clear, matter-of-fact style. As such it is appropriate for graduate
students with a basic knowledge of classical control theory and
some knowledge of state-space methods and nonlinear systems. The
resulting design procedures are emphasized using Matlab/Simulink
software. Â Â
The book offers a snapshot of the theories and applications of soft
computing in the area of complex systems modeling and control. It
presents the most important findings discussed during the 5th
International Conference on Modelling, Identification and Control,
held in Cairo, from August 31-September 2, 2013. The book consists
of twenty-nine selected contributions, which have been thoroughly
reviewed and extended before their inclusion in the volume. The
different chapters, written by active researchers in the field,
report on both current theories and important applications of
soft-computing. Besides providing the readers with soft-computing
fundamentals, and soft-computing based inductive
methodologies/algorithms, the book also discusses key industrial
soft-computing applications, as well as multidisciplinary solutions
developed for a variety of purposes, like windup control, waste
management, security issues, biomedical applications and many
others. It is a perfect reference guide for graduate students,
researchers and practitioners in the area of soft computing,
systems modeling and control.
This book describes the advances and applications in Sliding mode
control (SMC) which is widely used as a powerful method to tackle
uncertain nonlinear systems. The book is organized into 21 chapters
which have been organised by the editors to reflect the various
themes of sliding mode control. The book provides the reader with a
broad range of material from first principles up to the current
state of the art in the area of SMC and observation presented in a
clear, matter-of-fact style. As such it is appropriate for graduate
students with a basic knowledge of classical control theory and
some knowledge of state-space methods and nonlinear systems. The
resulting design procedures are emphasized using Matlab/Simulink
software.
The book presents recent applications and developments in the field
of control of industrial systems, covering a wide range of modeling
and feedback control using various robust approaches such as fuzzy
systems, sliding mode control, and H-infinity. This book
provides insights into theory, applications, and perspectives
relevant to the field of robotic systems, exoskeletons, power
systems, photovoltaic systems, etc., as well as general
methodologies and paradigms around them. Each chapter provides an
enriched understanding of a research topic along with a balanced
treatment of the relevant theories, methods, or applications. It
reports on the latest advances in the field. This book is a
good reference for graduate students, researchers, educators,
engineers, and scientists and contains a total of 15 chapters
divided into five parts as follows. The first part of this book
focuses on the application of fuzzy control to robotic systems and
consists of three chapters. The second part of this book proposes
the control of lower and upper limb exoskeletons and includes two
chapters. The third part is dedicated to the control of power
systems and comprises three chapters. The fourth part deals with
various approaches to the modeling and control of industrial
processes and comprises four chapters. The fifth and final part
describes observers and fault-tolerant control systems and
comprises five chapters.
This book gathers the selected papers from the Second International
Symposium on Simulation and Process Modelling (ISSPM 2020), which
was held online on August 29-30, 2020, due to COVID-19 pandemic.
The Symposium provides a forum in virtual presentation for
scholars, researchers and practitioners who are interested in the
modelling and simulation of business processes, production and
industrial processes, service and administrative processes, and
public sector processes to develop theory and practice of
simulation and process modelling.
New Trends in Observer-Based Control: A Practical Guide to Process
and Engineering Applications presents a concise introduction to the
latest advances in observer-based control design. The book gives a
comprehensive tutorial on new trends in the design of
observer-based controllers for which the separation principle is
well established. It covers a wide range of applications, also
including worked examples that make it ideal for both advanced
courses and researchers starting work in the field. This book is
also particularly suitable for engineers who want to quickly and
efficiently enter the field.
The book entitled "Advancements in Smart City and Intelligent
Building" is the Proceedings of the International Conference on
Smart City and Intelligent Building (ICSCIB 2018) held in Hefei,
China, September 15-16, 2018. It contains 58 papers in total
categorized into 8 different tracks, on Building Energy Efficiency,
Construction Robot and Automation, Intelligent Community and Urban
Safety, Intelligentialization of Heating Ventilation Air
Conditioning System, Information Technology and Intelligent
Transportation Systems, New Generation Intelligent Building
Platform Techniques, Smart Home and Utility, and Smart Underground
Space, which cover a wide range areas of smart cities and
intelligent buildings. ICSCIB2018 provided an international forum
for professionals, academics, and researchers to present the latest
developments from interdisciplinary theoretical studies,
computational algorithm developments and engineering applications
in smart cities and smart buildings. This academic event featured
many opportunities to network with colleagues from around the world
in a wonderful environment. Its program covered invitation and
presentations from scientists, researchers, and practitioners who
have been working in the related areas to establish platforms for
collaborative research projects in these fields. The conference
invited leaders from industry and academia to exchange and share
their experiences, present research results, explore collaborations
and to spark new ideas, with the aim of developing new projects and
exploiting new technology in these fields, and bridge theoretical
studies and emerging applications in various science and
engineering branches. This book addresses the recent development
and achievement in the field of smart city and intelligent
building. It is primarily intended for researchers and students for
undergraduate and postgraduate programs in the background of
multiple disciplines including computer science, information
systems, information technology, automatic control and automation,
electrical and electronic engineering, and telecommunications who
wish to develop and share their ideas, knowledge and new findings
in smart city and intelligent building.
New Trends in Observer-Based Control: An Introduction to Design
Approaches and Engineering Applications, Volume One presents a
clear-and-concise introduction to the latest advances in
observer-based control design. It provides a comprehensive tutorial
on new trends in the design of observer-based controllers for which
the separation principle is well established. In addition, since
the theoretical developments remain more advanced than the
engineering applications, more experimental results are still
needed. A wide range of applications are covered, and the book
contains worked examples which make it ideal for both advanced
courses and researchers starting in the field.
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