Real-time Iterative Learning Control: Design and Applications (Advances in Industrial Control)
by Jian-Xin Xu, Sanjib K. Panda and Tong Heng Lee
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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.
The book, Real-time Iterative Learning Control: Design and Applications (Advances in Industrial Control) [Bulk, Wholesale, Quantity] ISBN#9781849968249 in Paperback by Jian-Xin Xu, Sanjib K. Panda, Tong Heng Lee may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer London
- Authors
- Jian-Xin Xu, Sanjib K. Panda, Tong Heng Lee
- Format
- Paperback
- Published
- Oct 21, 2010
- ISBN-13
- 9781849968249
- Pages
- 194
- Printing
- Printed on demand
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Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $96.79 | 12% off list |
| 50 – 99 | $95.69 | 13% off list |
| 100+ | $94.59 | 14% off list |
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Real-time Iterative Learning Control: Design and Applications (Advances in Industrial Control)
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