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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Iterative Learning Control: Convergence, Robustness and Applications

Iterative Learning Control: Convergence, Robustness and Applications

Wen, Changyun
Chen, Yangquan

Paperback

Series: Lecture Notes in Control and Information Sciences, Book 248

Medical ReferenceTechnology & Engineering

ISBN10: 1852331909
ISBN13: 9781852331900
Publisher: Springer Nature
Published: Sep 22 1999
Pages: 204
Weight: 0.69
Height: 0.46 Width: 6.14 Depth: 9.21
Language: English
This book provides readers with a comprehensive coverage of iterative learning control. The book can be used as a text or reference for a course at graduate level and is also suitable for self-study and for industry-oriented courses of continuing education.
Ranging from aerodynamic curve identification robotics to functional neuromuscular stimulation, Iterative Learning Control (ILC), started in the early 80s, is found to have wide applications in practice. Generally, a system under control may have uncertainties in its dynamic model and its environment. One attractive point in ILC lies in the utilisation of the system repetitiveness to reduce such uncertainties and in turn to improve the control performance by operating the system repeatedly. This monograph emphasises both theoretical and practical aspects of ILC. It provides some recent developments in ILC convergence and robustness analysis. The book also considers issues in ILC design. Several practical applications are presented to illustrate the effectiveness of ILC. The applied examples provided in this monograph are particularly beneficial to readers who wish to capitalise the system repetitiveness to improve system control performance.

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