Embedded Control System Design: A Model Based Approach
Autor Alexandru Forraien Limba Engleză Hardback – 27 iul 2012
It is how the designed control algorithm can be implemented in real-time and tested, fulfilling different safety requirements. Good design practices and the systematic software development process are emphasized in the book according to the generic standard IEC61508.
The book is mainly addressed to practicing control and embedded software engineers - working in research and development – as well as graduate students who are faced with the challenge to design control systems and implement them in real-time.
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Specificații
ISBN-13: 9783642285943
ISBN-10: 3642285945
Pagini: 276
Ilustrații: XII, 264 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.52 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642285945
Pagini: 276
Ilustrații: XII, 264 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.52 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Embedded systems - basic concepts.- Introduction into embedded control system design.- System identification and model-order reduction.- Classical controller design - part I.- Classical controller design - part II.- Fundamentals of robust control.- Robust controller design.- Embedded safety loop development.
Recenzii
“This book is addressed to practical engineers interested in control systems design and implementation, and oriented to industrial applications. Author’s aim is to develop a theory for embedded systems and embedded control systems.” (Andrea Bacciotti, zbMATH 1309.93001, 2015)
Textul de pe ultima copertă
Control system design is a challenging task for practicing engineers. It requires knowledge of different
engineering fields, a good understanding of technical specifications and good communication skills. The current book introduces the reader into practical control system design, bridging the gap between theory and practice. The control design techniques presented in the book are all model based., considering the needs and possibilities of practicing engineers. Classical control design techniques are reviewed and methods are presented how to verify the robustness of the design.
It is how the designed control algorithm can be implemented in real-time and tested, fulfilling different safety requirements. Good design practices and the systematic software development process are emphasized in the book according to the generic standard IEC61508.
The book is mainly addressed to practicing control and embedded software engineers - working in research and development – as well as graduate students who are faced with the challenge to design control systems and implement them in real-time.
engineering fields, a good understanding of technical specifications and good communication skills. The current book introduces the reader into practical control system design, bridging the gap between theory and practice. The control design techniques presented in the book are all model based., considering the needs and possibilities of practicing engineers. Classical control design techniques are reviewed and methods are presented how to verify the robustness of the design.
It is how the designed control algorithm can be implemented in real-time and tested, fulfilling different safety requirements. Good design practices and the systematic software development process are emphasized in the book according to the generic standard IEC61508.
The book is mainly addressed to practicing control and embedded software engineers - working in research and development – as well as graduate students who are faced with the challenge to design control systems and implement them in real-time.
Caracteristici
Introduction to practical control system design, bridging the gap between theory and practice Considering the needs and possibilities of practicing engineers Presents a unified framework for control system design, where the models are derived from experimental data, and the controller design takes into account the plant uncertainty