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Abstract:
The note considers an iterative learning control scheme for a kind of switched repetitive systems. The manipulated systems are specified by arbitrary switching signals with respective to both time variable and iteration index. By employing Lebesgue-p norm, the learning performance is analyzed and a sufficient condition of convergence is derived. Results show that the concerned control law works well for tracking problem of the switched systems when the switching rules are expanded to time-iteration domain. Simulation is included to verify the validity of the approach. © 2018 IEEE.
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Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018
ISSN: 9781538626184
Year: 2018
Publish Date: October 30, 2018
Page: 555-559
Language: English
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 1
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