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Real-time Iterative Learning Control Design and Applications /
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 h...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Advances in Industrial Control,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 024 | 7 | |a 10.1007/978-1-84882-175-0 |2 doi | |
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| 100 | 1 | |a Xu, Jian-Xin. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Real-time Iterative Learning Control |h [electronic resource] : |b Design and Applications / |c by Jian-Xin Xu, Sanjib K. Panda, Tong Heng Lee. |
| 250 | |a 1st ed. 2009. | ||
| 264 | 1 | |a London : |b Springer London : |b Imprint: Springer, |c 2009. | |
| 300 | |a XVI, 194 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Advances in Industrial Control, |x 2193-1577 | |
| 505 | 0 | |a to ILC: Concepts, Schematics, and Implementation -- Robust Optimal ILC Design for Precision Servo: Application to an XY Table -- ILC for Precision Servo with Input Non-linearities: Application to a Piezo Actuator -- ILC for Process Temperature Control: Application to a Water-heating Plant -- ILC with Robust Smith Compensator: Application to a Furnace Reactor -- Plug-in ILC Design for Electrical Drives: Application to a PM Synchronous Motor -- ILC for Electrical Drives: Application to a Switched Reluctance Motor -- Optimal Tuning of PID Controllers Using Iterative Learning Approach -- Calibration of Micro-robot Inverse Kinematics Using Iterative Learning Approach -- Conclusion. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Control engineering. | |
| 650 | 0 | |a Chemistry, Technical. | |
| 650 | 0 | |a Manufactures. | |
| 650 | 0 | |a Engineering design. | |
| 650 | 0 | |a Electronics. | |
| 650 | 1 | 4 | |a Control and Systems Theory. |
| 650 | 2 | 4 | |a Industrial Chemistry. |
| 650 | 2 | 4 | |a Machines, Tools, Processes. |
| 650 | 2 | 4 | |a Engineering Design. |
| 650 | 2 | 4 | |a Electronics and Microelectronics, Instrumentation. |
| 700 | 1 | |a Panda, Sanjib K. |e author. |0 (orcid)0000-0002-3675-0466 |1 https://orcid.org/0000-0002-3675-0466 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Lee, Tong Heng. |e author. |0 (orcid)0000-0002-2785-516X |1 https://orcid.org/0000-0002-2785-516X |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781849968249 |
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| 776 | 0 | 8 | |i Printed edition: |z 9781848821743 |
| 830 | 0 | |a Advances in Industrial Control, |x 2193-1577 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-84882-175-0 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||