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Introduction

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Iterative Learning Control for Network Systems Under Constrained Information Communication

Part of the book series: Intelligent Control and Learning Systems ((ICLS,volume 12))

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Abstract

Iterative learning control (ILC), as a highly efficient control technology, was formally proposed in 1984 (Arimoto et al. 1984). This control technology is a powerful methodology that aims to improve the performance of dynamic systems by learning from repetition and refining control actions. This technique has applications in various fields, ranging from industrial automation to robotics (Bristow et al. 2006; Li et al. 2013; Riaz et al. 2021), allowing systems to achieve higher accuracy, precision, and stability. Through the process of repeated execution and learning from past experiences, ILC enables systems to adapt and enhance their performance over time.

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Authors and Affiliations

  1. School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, Sichuan, China

    Wenjun Xiong

  2. School of Science, Civil Aviation Flight University of China, Guanghan, Sichuan, China

    Zijian Luo

  3. Department of Mathematics, City University of Hong Kong, Hong Kong, China

    Daniel W. C. Ho

Authors
  1. Wenjun Xiong
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  2. Zijian Luo
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  3. Daniel W. C. Ho
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Corresponding author

Correspondence to Wenjun Xiong .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Xiong, W., Luo, Z., Ho, D.W.C. (2024). Introduction. In: Iterative Learning Control for Network Systems Under Constrained Information Communication. Intelligent Control and Learning Systems, vol 12. Springer, Singapore. https://doi.org/10.1007/978-981-97-0926-7_1

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