The robust iterative learning control of networked control systems with varying references

Zhai, Liang; Tian, Guohui; Zhou, Fengyu; Li, Yan

doi:10.1109/ccdc.2013.6560887

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Cited by 2 publications

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“…If the condition above is satisfied, the conclusion that the output tracking error converges monotonically to zero is achieved as the iteration increases to infinity. It is known that if the time delay is time invariant, the convergent analysis is convenient in the frequency domain by applying Laplace transform and the contraction mapping method [49,50]. However, the time delay here is time varying so that the convergent analysis is more complicated.…”

Section: Problem Formulationmentioning

confidence: 99%

A Parametric Learning and Identification Based Robust Iterative Learning Control for Time Varying Delay Systems

Zhai

Tian

2014

Journal of Control Science and Engineering

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A parametric learning based robust iterative learning control (ILC) scheme is applied to the time varying delay multiple-input and multiple-output (MIMO) linear systems. The convergence conditions are derived by using theH∞and linear matrix inequality (LMI) approaches, and the convergence speed is analyzed as well. A practical identification strategy is applied to optimize the learning laws and to improve the robustness and performance of the control system. Numerical simulations are illustrated to validate the above concepts.

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Section: Problem Formulationmentioning

confidence: 99%