Approximate adjoint-based iterative learning control

DOI10.1080/00207179.2013.865144zbMath1291.93335OpenAlexW2000488470MaRDI QIDQ5494516

Johannes Nygren, Kristiaan Pelckmans, Bengt Carlsson

Publication date: 28 July 2014

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2013.865144

zbMATH Keywords

stochastic approximationiterative learning control (ILC)stochastic convergence analysissequencing batch reactorapproximate gradients

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Stochastic learning and adaptive control (93E35)

Related Items (2)

A PD-type iterative learning control for a class of switched discrete-time systems with model uncertainties and external noises ⋮ Iterative learning control for networked stochastic systems with random packet losses

Cites Work

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• A Stochastic Approximation Method

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