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Articulates a series of scientific and technological developments
described in a didactic way Shows a broad view of biometrics in
several contexts: Current cases of study in five different areas
Provides experimental results in different environments
(availability of data and computer code to reproduce the
experiments) Includes transdisciplinary approaches and discussions
for each chapter Innovation as part of the final cases of study:
developments are already affecting the new businesses of the
digital age and the era of the brain
The book articulates a series of scientific and technological
developments described in a didactic way. The book shows a broad
view of system identification in several contexts: Current cases of
study are in different control methods. Experimental results in
different environments (availability of data and computer code to
reproduce the experiments). Transdisciplinary approaches and
discussions for each chapter. Innovation as part of the final cases
of study: developments are already affecting the new big data of
the digital age and the era of the advanced control.
Metaheuristic optimization has become a prime alternative for
solving complex optimization problems in several areas. Hence,
practitioners and researchers have been paying extensive attention
to those metaheuristic algorithms that are mainly based on natural
phenomena. However, when those algorithms are implemented, there
are not enough books that deal with theoretical and experimental
problems in a friendly manner so this book presents a novel
structure that includes a complete description of the most
important metaheuristic optimization algorithms as well as a new
proposal of a new metaheuristic optimization named earthquake
optimization. This book also has several practical exercises and a
toolbox for MATLAB (R) and a toolkit for LabVIEW are integrated as
complementary material for this book. These toolkits allow readers
to move from a simulation environment to an experimentation one
very fast. This book is suitable for researchers, students, and
professionals in several areas, such as economics, architecture,
computer science, electrical engineering, and control systems. The
unique features of this book are as follows: Developed for
researchers, undergraduate and graduate students, and practitioners
A friendly description of the main metaheuristic optimization
algorithms Theoretical and practical optimization examples A new
earthquake optimization algorithm Updated state-of-the-art and
research optimization projects The authors are
multidisciplinary/interdisciplinary lecturers and researchers who
have written a structure-friendly learning methodology to
understand each metaheuristic optimization algorithm presented in
this book.
Metaheuristic optimization has become a prime alternative for
solving complex optimization problems in several areas. Hence,
practitioners and researchers have been paying extensive attention
to those metaheuristic algorithms that are mainly based on natural
phenomena. However, when those algorithms are implemented, there
are not enough books that deal with theoretical and experimental
problems in a friendly manner so this book presents a novel
structure that includes a complete description of the most
important metaheuristic optimization algorithms as well as a new
proposal of a new metaheuristic optimization named earthquake
optimization. This book also has several practical exercises and a
toolbox for MATLAB (R) and a toolkit for LabVIEW are integrated as
complementary material for this book. These toolkits allow readers
to move from a simulation environment to an experimentation one
very fast. This book is suitable for researchers, students, and
professionals in several areas, such as economics, architecture,
computer science, electrical engineering, and control systems. The
unique features of this book are as follows: Developed for
researchers, undergraduate and graduate students, and practitioners
A friendly description of the main metaheuristic optimization
algorithms Theoretical and practical optimization examples A new
earthquake optimization algorithm Updated state-of-the-art and
research optimization projects The authors are
multidisciplinary/interdisciplinary lecturers and researchers who
have written a structure-friendly learning methodology to
understand each metaheuristic optimization algorithm presented in
this book.
This book gathers the proceedings of the 3rd Latin American
Congress on Automation and Robotics, held at Monterrey, Mexico, on
November 17-19, 2021. This book presents recent advances in the
modeling, design, control, and development of autonomous and
robotic systems and explores current exciting applications and
future challenges of these technologies. The scope of this book
covers a wide range of research fields associated with automation
and robotics encountered within engineering, scientific research,
and practice. These topics are related to autonomous systems,
industrial automation and robotics, modelling and systems
identification, simulation procedures and experimental validations,
control theory, artificial intelligence, computer vision, sensing
and sensor fusion, multi-robot and multi-agent systems, field and
service robotics, human robot interaction and interfaces, modelling
of robotic systems, and the design of new robotic platforms.
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