Real-time Iterative Learning Control | Design and Applications
Idioma: inglés
Editorial: Springer, 2010
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Real-time Iterative Learning Control | Design and Applications | Jian-Xin Xu (u. a.) | Taschenbuch | Advances in Industrial Control | xvi | Englisch | 2010 | Springer | EAN 9781849968249 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
N° de ref. del artículo 107145354
- Título
- Real-time Iterative Learning Control | Design and Applications
- Autor
- Jian-Xin Xu (u. a.)
- Editorial
- Springer
- Año de publicación
- 2010
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 1849968241
- ISBN 13
- 9781849968249
- Peso del artículo
- 330 gramos
- Dimensiones
- 235 x 155 x 12 mm
- Serie
- Libro 36 de 167: Advances in Industrial Control
- Catálogos de vendedores
- Bücher
Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The book gives a systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in linear and nonlinear plants pervading mechatronics and batch processes are addressed, in particular: ILC design in the continuous- and discrete-time domains; design in the frequency and time domains; design with problem-specific performance objectives including robustness and optimality; design in a modular approach by integration with other control techniques; and design by means of classical tools based on Bode plots and state space.
“Sinopsis” puede pertenecer a otra edición de este título.
De la contraportada
Iterative learning control (ILC) has been a major control design methodology for twenty years; numerous algorithms have been developed to solve real-time control problems, from MEMS to batch reactors, characterised by repetitive control operations.
Real-time Iterative Learning Control demonstrates how the latest advances in ILC can be applied to a number of plants widely encountered in practice. The authors provide a hitherto lacking systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in the linear and nonlinear plants that pervade mechatronics and batch processes are addressed. In particular, the book discusses:
ILC design in the continuous- and discrete-time domains;
design in the frequency and time domains;
design with problem-specific performance objectives including robustness and optimality;
design by means of classical tools based on Bode plots and state space; and
iterative-learning-based parametric identification.
Real-time Iterative Learning Control will interest control engineers looking for examples of how this important control technique can be applied to a variety of real-life problems. With its systematic formulation and analysis of different system properties and performance and its exposition of open problems, academics and graduate students working in control will find it a useful reference to the current status of ILC.
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Vendedor de IberLibro desde 5 de agosto de 2024
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