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Dynamic Output-Only Iterative Learning Control Design
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DOI：10.1109/ACCESS.2021.3123868.png)
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Abstract
En 中文
Iterative learning control applies to systems that repeatedly execute the same finite duration task. The distinguishing feature of this form of control action is that all data generated on a previous execution of the task is available to compute the control action for the subsequent execution. This paper uses the repetitive process stability analysis and optimization techniques to design a dynamic controller that, in contrast to previous designs in the repetitive process/2D systems setting, does not require measurement of the state dynamics or observer-based estimation. Examples to demonstrate the application of the new design are given.
Keywords:
Process control
Convergence
Stability analysis
Dynamics
Task analysis
Symmetric matrices
State-space methods
Iterative learning control
repetitive processes
output control
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W
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