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.
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