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This volume presents some recent and principal developments related
to computational intelligence and optimization methods in control.
Theoretical aspects and practical applications of control
engineering are covered by 14 self-contained contributions.
Additional gems include the discussion of future directions and
research perspectives designed to add to the reader's understanding
of both the challenges faced in control engineering and the
insights into the developing of new techniques. With the knowledge
obtained, readers are encouraged to determine the appropriate
control method for specific applications.
This volume aims to provide a state-of-the-art and the latest
advancements in the field of intelligent control and smart energy
management. Techniques, combined with technological advances, have
enabled the deployment of new operating systems in many engineering
applications, especially in the domain of transport and renewable
resources. The control and energy management of transportation and
renewable resources are shifting towards autonomous reasoning,
learning, planning and operating. As a result, these techniques,
also referred to as autonomous control and energy management, will
become practically ubiquitous soon. The discussions include
methods, based on neural control (and others) as well as
distributed and intelligent optimization. While the theoretical
concepts are detailed and explained, the techniques presented are
tailored to transport and renewable resources applications, such as
smart grids and automated vehicles. The reader will grasp the most
important theoretical concepts as well as to fathom the challenges
and needs related to timely practical applications. Additional
content includes research perspectives and future direction as well
as insight into the devising of techniques that will meet
tomorrow's scientific needs. This contributed volume is for
researchers, graduate students, engineers and practitioners in the
domains of control, energy, and transportation.
This book covers controller tuning techniques from conventional to
new optimization methods for diverse control engineering
applications. Classical controller tuning approaches are presented
with real-world challenges faced in control engineering. Current
developments in applying optimization techniques to controller
tuning are explained. Case studies of optimization algorithms
applied to controller tuning dealing with nonlinearities and
limitations like the inverted pendulum and the automatic voltage
regulator are presented with performance comparisons. Students and
researchers in engineering and optimization interested in
optimization methods for controller tuning will utilize this book
to apply optimization algorithms to controller tuning, to choose
the most suitable optimization algorithm for a specific
application, and to develop new optimization techniques for
controller tuning.
This volume presents some recent and principal developments related
to computational intelligence and optimization methods in control.
Theoretical aspects and practical applications of control
engineering are covered by 14 self-contained contributions.
Additional gems include the discussion of future directions and
research perspectives designed to add to the reader's understanding
of both the challenges faced in control engineering and the
insights into the developing of new techniques. With the knowledge
obtained, readers are encouraged to determine the appropriate
control method for specific applications.
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