International Journal of Control, Automation and Systems 2017; 15(2): 647-655
Published online March 8, 2017
https://doi.org/10.1007/s12555-015-0273-y
© The International Journal of Control, Automation, and Systems
The iterative learning control (ILC) problem for networked linear system with random link failure is addressed in this paper. The link failures arise both from the controller to the plant and from the plant to the controller. The random link failure is modeled by an independent Bernoulli random variable. Two P-type update laws are designed and critically analyzed. The almost sure convergence property is established according to this case for the first time. Illustrative simulations show the effectiveness of the proposed algorithms."
Keywords Almost sure convergence, iterative learning control, link failures, networked linear systems.
International Journal of Control, Automation and Systems 2017; 15(2): 647-655
Published online April 1, 2017 https://doi.org/10.1007/s12555-015-0273-y
Copyright © The International Journal of Control, Automation, and Systems.
Dong Shen
Beijing University of Chemical Technology
The iterative learning control (ILC) problem for networked linear system with random link failure is addressed in this paper. The link failures arise both from the controller to the plant and from the plant to the controller. The random link failure is modeled by an independent Bernoulli random variable. Two P-type update laws are designed and critically analyzed. The almost sure convergence property is established according to this case for the first time. Illustrative simulations show the effectiveness of the proposed algorithms."
Keywords: Almost sure convergence, iterative learning control, link failures, networked linear systems.
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