An iterative learning control based identification for a class of MIMO continuous-time systems in the presence of fixed input disturbances and measurement noises

DOI10.1080/00207720701597365zbMath1160.93319OpenAlexW2039287158MaRDI QIDQ3625262

Toshiharu Sugie, Tae-Hyoung Kim

Publication date: 12 May 2009

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

Full work available at URL: https://doi.org/10.1080/00207720701597365

zbMATH Keywords

identificationiterative learning controlcontinuous-time systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) System identification (93B30) Multivariable systems, multidimensional control systems (93C35) Linear systems in control theory (93C05)

Related Items (3)

Application of the iterative learning control of a non-linear MIMO wave equation ⋮ An improvement on the transient response of tracking for the sampled-data system based on an improved PD-type iterative learning control ⋮ H_∞approach to monotonically convergent ILC for uncertain time-varying delay systems

Uses Software

• CONTSID

Cites Work

• Unnamed Item
• Continuous-time approaches to system identification - a survey
• Robust adaptive compensation of biased sinusoidal disturbances with unknown frequency.
• Adaptive Control Design and Analysis
• An iterative learning control algorithm within prescribed input-output subspace

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