Data-Driven Controller Design

Released on by Alexandre Sanfelice Bazanella
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  • Data-Driven Controller Design Book Detail

  • Author : Alexandre Sanfelice Bazanella
  • Release Date : 2011-11-16
  • Publisher : Springer Science & Business Media
  • Genre : Technology & Engineering
  • Pages : 222
  • ISBN 13 : 9400723008
  • File Size : 18,18 MB
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Data-Driven Controller Design by Alexandre Sanfelice Bazanella PDF Summary

Book Description: 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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Data-Driven Controller Design

Data-Driven Controller Design

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Data-Based Controller Design presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that hav

Data-Driven Science and Engineering

Data-Driven Science and Engineering

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A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.