Accelerated Iterative Learning Control for Linear Discrete Systems with Parametric Perturbation and Measurement Noise

Accelerated Iterative Learning Control for Linear Discrete Systems with Parametric Perturbation and Measurement Noise

An iterative learning control algorithm based on error backward association and control parameter correction has been proposed for a class of linear discrete time-invariant systems with repeated operation characteristics, parameter disturbance, and measurement noise taking PD type example. Firstly,...

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Bibliographic Details
Main Authors: Riaz, S. (Author), Yang, X. (Author)
Format: Article
Language:English
Published: Tech Science Press 2022
Subjects:
Condition
convergence rate
Convergence rates
Discrete time control systems
Forms (concrete)
gain adjustment
Gain-adjustment
Invariance
Iterative learning control
Iterative methods
Learning algorithms
Learning systems
Linear discrete systems
Measurement Noise
monotone convergence
Monotone convergence
Noise parameters
Parameter estimation
Parameter uncertainty
Parametric measurements
Spurious signal noise
Two term control systems
Uncertainty analysis
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