Data-Based Controller Design presents a comprehensive analysis of
data-based control design. It brings together the different data-based
design methods that have been presented in the literature since the late
1990's. To the best knowledge of the author, these data-based design
methods have never been collected in a single text, analyzed in depth or
compared to each other, and this severely limits their widespread
application. In this book these methods will be presented under a common
theoretical framework, which fits also a large family of adaptive
control methods: the MRAC (Model Reference Adaptive Control) methods.
This common theoretical framework has been developed and presented very
recently.
The book is primarily intended for PhD students and researchers - senior
or junior - in control systems. It should serve as teaching material for
data-based and adaptive control courses at the graduate level, as well
as for reference material for PhD theses. It should also be useful for
advanced engineers willing to apply data-based design. As a matter of
fact, the concepts in this book are being used, under the author's
supervision, for developing new software products in a automation
company. The book will present simulation examples along the text.
Practical applications of the concepts and methodologies will be
presented in a specific chapter.