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Direct Data Driven Model Reference Control for Flight Simulation Table
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DOI：10.1109/ACCESS.2022.3162204.png)
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Abstract
En 中文
We present a direct data driven model reference control framework for flight simulation table from both the theoretical analysis and engineering application. Sate of the art direct driven model reference control designs the unknown controller based on the input-output data and guarantees the actual model converge to the reference model, under a case of no any priori knowledge for the unknown plant. We improve this direct data driven model reference control strategy by considering its stability validation and synthesis analysis for nonlinear controller. The resulting direct data driven model reference control scheme can be implemented to ensure flight simulation table rotate accuracy, resulting in improved performance index. As the main technical contribution, we show that the proposed direct data driven model reference control framework also ensures closed loop stability and suitable extension for nonlinear controller.
Keywords:
Data models
Predictive control
Predictive models
Analytical models
Uncertainty
Probabilistic logic
Mathematical models
Model reference control
direct data driven
flight simulation table
synthesis analysis
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W
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