Abstract
This paper deals with iterative learning control for conformable impulsive differential equations. For nonlinear and linear problems varying with the initial state, we design standard P-type, \(D_{\gamma }\)-type, and conformable \(PI_{\gamma }D_{\gamma }\)-type learning update laws. Next, we establish sufficient conditions for tracking error convergence and use impulsive Gronwall inequality and mathematical analysis tools to prove the main results. Finally, three numerical examples are given to illustrate our theoretical results.
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The authors are grateful to the referees for their careful reading of the manuscript and their valuable comments.
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Communicated by Davoud Mirzaei.
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This work is partially supported by the National Natural Science Foundation of China (11661016), Training Object of High Level and Innovative Talents of Guizhou Province ((2016)4006), Major Research Project of Innovative Group in Guizhou Education Department ([2018]012), Guizhou Data Driven Modeling Learning and Optimization Innovation Team ([2020]5016), the Slovak Research and Development Agency under the contract No. APVV-18-0308, and the Slovak Grant Agency VEGA No. 1/0358/20 and No. 2/0127/20.
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Qiu, W., Fečkan, M., O’Regan, D. et al. Convergence Analysis for Iterative Learning Control of Conformable Impulsive Differential Equations. Bull. Iran. Math. Soc. 48, 193–212 (2022). https://doi.org/10.1007/s41980-020-00510-6
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DOI: https://doi.org/10.1007/s41980-020-00510-6