On learning transient, auto-tunings of learnable bandwidth and lead step in iterative learning control

DOI10.1080/00207720902974611zbMath1301.93094OpenAlexW2010204023MaRDI QIDQ2932628

Bin Zhang, Yongqiang Ye, Wang, Danwei

Publication date: 3 December 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720902974611

zbMATH Keywords

convergenceiterative learning controllearning transientlead step tuninglearnable bandwidth tuning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Adaptive control/observation systems (93C40)

Related Items (5)

On iterative learning control for MIMO nonlinear systems in the presence of time-iteration-varying parameters ⋮ Finite-time consensus protocols for networks of dynamic agents by terminal iterative learning ⋮ Repetitive control of electrically driven robot manipulators ⋮ Robust ILC with iteration-varying initial state shifts: a 2D approach ⋮ H_∞approach to monotonically convergent ILC for uncertain time-varying delay systems

Cites Work

• On D-type and P-type ILC designs and anticipatory approach
• Iterative learning control and repetitive control for engineering practice
• Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise
• Optimal selection of the forgetting matrix into an iterative learning control algorithm

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