Iterative learning control for discrete nonlinear systems with randomly iteration varying lengths

DOI10.1016/j.sysconle.2016.07.004zbMath1347.93238OpenAlexW2514902888MaRDI QIDQ325067

Dong Shen, Jian-Xin Xu, Wei Zhang

Publication date: 17 October 2016

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sysconle.2016.07.004

zbMATH Keywords

pointwise convergenceiterative learning controldiscrete nonlinear systeminitial state conditionsiteration varying lengths

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Stochastic systems in control theory (general) (93E03)

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Cites Work

• Direct learning of control efforts for trajectories with different magnitude scales
• ILC for networked nonlinear systems with unknown control direction through random lossy channel
• Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition
• An Iterative Learning Control Approach for Linear Systems With Randomly Varying Trial Lengths
• Direct learning of control efforts for trajectories with different time scales
• Investigating the Use of Iterative Learning Control and Repetitive Control to Implement Periodic Gaits
• Iterative learning control for networked stochastic systems with random packet losses
• Analysis of nonlinear discrete-time systems with higher-order iterative learning control

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