Real-Time Iterative Learning Control (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.

  • ISBN10 184882176X
  • ISBN13 9781848821767
  • Publish Date 23 February 2009 (first published 23 December 2008)
  • Publish Status Withdrawn
  • Out of Print 18 October 2014
  • Publish Country US
  • Imprint Springer
  • Edition Edition. ed.
  • Format Paperback (US Trade)
  • Pages 212
  • Language English