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This book categorizes the wide area of data-driven model-free
controllers, reveals the exact benefits of such controllers, gives
the in-depth theory and mathematical proofs behind them, and
finally discusses their applications. Each chapter includes a
section for presenting the theory and mathematical definitions of
one of the above mentioned algorithms. The second section of each
chapter is dedicated to the examples and applications of the
corresponding control algorithms in practical engineering problems.
This book proposes to avoid complex mathematical equations, being
generic as it includes several types of data-driven model-free
controllers, such as Iterative Feedback Tuning controllers,
Model-Free Controllers (intelligent PID controllers), Model-Free
Adaptive Controllers, model-free sliding mode controllers, hybrid
model-free and model-free adaptive-Virtual Reference Feedback
Tuning controllers, hybrid model-free and model-free adaptive fuzzy
controllers and cooperative model-free controllers. The book
includes the topic of optimal model-free controllers, as well. The
optimal tuning of model-free controllers is treated in the chapters
that deal with Iterative Feedback Tuning and Virtual Reference
Feedback Tuning. Moreover, the extension of some model-free control
algorithms to the consensus and formation-tracking problem of
multi-agent dynamic systems is provided. This book can be
considered as a textbook for undergraduate and postgraduate
students, as well as a professional reference for industrial and
academic researchers, attracting the readers from both industry and
academia.
This book presents advanced studies on the conversion efficiency,
mechanical reliability, and the quality of power related to wind
energy systems. The main concern regarding such systems is
reconciling the highly intermittent nature of the primary source
(wind speed) with the demand for high-quality electrical energy and
system stability. This means that wind energy conversion within the
standard parameters imposed by the energy market and power industry
is unachievable without optimization and control. The book
discusses the rapid growth of control and optimization paradigms
and applies them to wind energy systems: new controllers, new
computational approaches, new applications, new algorithms, and new
obstacles.
This book highlights the potential of getting benefits from
various applications of computational intelligence techniques. The
present book is structured such that to include a set of selected
and extended papers from the 6th IEEE International Symposium on
Applied Computational Intelligence and Informatics SACI 2011, held
in Timisoara, Romania, from 19 to 21 May 2011. After a serious
paper review performed by the Technical Program Committee only 116
submissions were accepted, leading to a paper acceptance ratio of
65 %. A further refinement was made after the symposium, based also
on the assessment of the presentation quality. Concluding, this
book includes the extended and revised versions of the very best
papers of SACI 2011 and few invited papers authored by prominent
specialists. The readers will benefit from gaining knowledge of the
computational intelligence and on what problems can be solved in
several areas; they will learn what kind of approaches is advised
to use in order to solve these problems. A very important benefit
for the readers is an understanding of what the major difficulties
are and the cost-effective solutions to deal with them. This book
will offer a convenient entry for researchers and engineers who
intend to work in the important fields of computational
intelligence.
This book highlights the potential of getting benefits from
various applications of computational intelligence techniques. The
present book is structured such that to include a set of selected
and extended papers from the 6th IEEE International Symposium on
Applied Computational Intelligence and Informatics SACI 2011, held
in Timisoara, Romania, from 19 to 21 May 2011. After a serious
paper review performed by the Technical Program Committee only 116
submissions were accepted, leading to a paper acceptance ratio of
65 %. A further refinement was made after the symposium, based also
on the assessment of the presentation quality. Concluding, this
book includes the extended and revised versions of the very best
papers of SACI 2011 and few invited papers authored by prominent
specialists. The readers will benefit from gaining knowledge of the
computational intelligence and on what problems can be solved in
several areas; they will learn what kind of approaches is advised
to use in order to solve these problems. A very important benefit
for the readers is an understanding of what the major difficulties
are and the cost-effective solutions to deal with them. This book
will offer a convenient entry for researchers and engineers who
intend to work in the important fields of computational
intelligence.
Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo
Systems explains fuzzy control in servo systems in a way that
doesn't require any solid mathematical prerequisite. Analysis and
design methodologies are covered, along with specific applications
to servo systems and representative case studies. The theoretical
approaches presented throughout the book are validated by the
illustration of digital simulation and real-time experimental
results. This book is a great resource for a wide variety of
readers, including graduate students, engineers (designers,
practitioners and researchers), and everyone who faces challenging
control problems.
This book discusses control and optimization techniques in the
broadest sense, covering new theoretical results and the
applications of newly developed methods for PV systems. Going
beyond classical control techniques, it promotes the use of more
efficient control and optimization strategies based on linearized
models and purely continuous (or discrete) models. These new
strategies not only enhance the performance of the PV systems, but
also decrease the cost per kilowatt-hour generated.
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