Iterative learning control as a method of experiment design for improved system identification

DOI10.1080/10556780600881431zbMath1111.93030OpenAlexW2049838360MaRDI QIDQ3427142

Richard W. Longman, Minh Q. Phan

Publication date: 14 March 2007

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556780600881431

zbMATH Keywords

system identificationiterative learning controlrepetitive controloptimal experiment design

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Stabilization of systems by feedback (93D15) System identification (93B30) Frequency-response methods in control theory (93C80) Linear systems in control theory (93C05) Digital control/observation systems (93C62)

Cites Work

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• Numerical methods for optimum experimental design in DAE systems
• Analysis and Synthesis of Discrete-Time Repetitive Controllers
• Iterative learning control and repetitive control for engineering practice
• Numerical methods for optimal control problems in design of robust optimal experiments for nonlinear dynamic processes
• Identification of observer/Kalman filter Markov parameters - Theory and experiments

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