Iterative learning control with parameter estimation for non-repetitive time-varying systems

DOI10.1016/j.jfranklin.2024.01.011OpenAlexW4390858209WikidataQ129813961 ScholiaQ129813961MaRDI QIDQ6152827

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Publication date: 12 March 2024

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2024.01.011

zbMATH Keywords

parameter estimationneural networkiterative learning controlBayesian regularizationnon-repetitive time-varying systems

Mathematics Subject Classification ID

Iterative learning control (93B47)

Cites Work

• MTF estimation via BP neural networks and Markov model for space optical camera
• Varying-order iterative learning control against perturbed initial conditions
• Iterative learning control for linear delay systems with deterministic and random impulses
• Model free adaptive iterative learning control for a class of nonlinear systems with randomly varying iteration lengths
• Leader-following consensus control of multiple nonholomomic mobile robots: an iterative learning adaptive control scheme
• A study on iterative learning control for impulsive differential equations
• Iterative learning control for fractional-order multi-agent systems
• Consensus control via iterative learning for distributed parameter models multi-agent systems with time-delay
• Optimal iterative learning control design for continuous-time systems with nonidentical trial lengths using alternating projections between multiple sets
• A New Approach to Finite-Horizon Optimal Control for Discrete-Time Affine Nonlinear Systems via a Pseudolinear Method
• Machine learning based iterative learning control for non‐repetitive time‐varying systems

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