Iterative learning control for nonlinear dynamic systems with randomly varying trial lengths

DOI10.1002/acs.2543zbMath1333.93274OpenAlexW1919139235MaRDI QIDQ2793956

Deqing Huang, Xuefang Li, Jian-Xin Xu

Publication date: 17 March 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2543

zbMATH Keywords

nonlinear systemiterative learning controliteratively moving average operatornon-uniform trial length

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Stochastic learning and adaptive control (93E35) Stochastic systems in control theory (general) (93E03) Control/observation systems governed by ordinary differential equations (93C15)

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Cites Work

• Noise tolerant iterative learning control for a class of continuous-time systems
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• A non-standard iterative learning control approach to tracking periodic signals in discrete-time non-linear systems
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• Investigating the Use of Iterative Learning Control and Repetitive Control to Implement Periodic Gaits
• An average operator-based PD-type iterative learning control for variable initial state error
• Design of Observer-Based $H_{\infty}$ Robust Repetitive-Control System
• Convergence monotonicity and speed comparison of iterative learning control algorithms for nonlinear systems
• Iterative learning control and repetitive control in hard disk drive industry—A tutorial

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