Moving Averaging Techniques for Nonlinear Continuous-Time Systems

Shen, Dong; Li, Xuefang

doi:10.1007/978-981-13-6136-4_7

Moving Averaging Techniques for Nonlinear Continuous-Time Systems

Dong Shen³ &
Xuefang Li⁴

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First Online: 30 January 2019

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Abstract

In this chapter, we will extend the idea on ILC design with randomly varying trial lengths to nonlinear dynamic systems. Different from Chaps. 2 and 3, this chapter will employ an iteratively moving average operator into the ILC scheme.

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References

Lee HS, Bien Z (1996) Study on robustness of iterative learning control with non-zero initial error. Int J Control 64(3):345–359
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Li X, Xu J-X, Huang D (2015) Iterative learning control for nonlinear dynamic systems with randomly varying trial lengths. Int J Adapt Control Signal Process 29:1341–1353
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Authors and Affiliations

College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
Dong Shen
Department of Electrical and Electronic Engineering, Imperial College London, London, UK
Xuefang Li

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Dong Shen
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Xuefang Li
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Correspondence to Dong Shen .

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Shen, D., Li, X. (2019). Moving Averaging Techniques for Nonlinear Continuous-Time Systems. In: Iterative Learning Control for Systems with Iteration-Varying Trial Lengths. Springer, Singapore. https://doi.org/10.1007/978-981-13-6136-4_7

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DOI: https://doi.org/10.1007/978-981-13-6136-4_7
Published: 30 January 2019
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6135-7
Online ISBN: 978-981-13-6136-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)

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