Advances in Industrial Control

Design and Applications

By: Jian-Xin Xu, Sanjib K. Panda, Tong Heng Lee

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Hardcover | 23 December 2008

At a Glance

Hardcover
212 Pages

Dimensions(cm)
22.86 x 15.24 x 1.91

Hardcover

$169.00

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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.

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