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Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation

Part of the book series: Advances in Industrial Control ((AIC))

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Abstract

The definition and a brief history of iterative learning control (ILC) are introduced. ILC is formulated and ILC formulations in various domains are compared. Some basic ILC laws and two ILC configurations are presented in details with convergence analysis in both time domain and frequency domain. Convergence mechanism and source of bad transient are discussed with literature review on relevant topics. The robotic test bed system used for ILC experiments is depicted. Finally, the content of the book is outlined.

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Authors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Danwei Wang

  2. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Yongqiang Ye

  3. Department of Electrical Engineering, University of South Carolina, Columbia, SC, USA

    Bin Zhang

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  1. Danwei Wang
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  2. Yongqiang Ye
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  3. Bin Zhang
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Correspondence to Danwei Wang .

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Wang, D., Ye, Y., Zhang, B. (2014). Introduction. In: Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation. Advances in Industrial Control. Springer, Singapore. https://doi.org/10.1007/978-981-4585-60-6_1

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