Advances in Industrial Control: Design and Applications

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

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.

Details

Published by: Springer

Publication Date: 2010-10-21

Format: Paperback

ISBN-13: 9781849968249

DOI: 10.1007/978-1-84882-175-0

Dimensions: 235cm x155cm

Pages: 194