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Data-Driven Model-Free Controllers (Hardcover)
Loot Price: R4,504
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Data-Driven Model-Free Controllers (Hardcover)
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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.
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