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صفحه اصلی
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نهمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون
Comparative Analysis of Data-Driven Predictive Control Strategies
نویسندگان :
Ali Rezaei
1
Ali Khaki-Sedigh
2
1- K. N. Toosi University of Technology
2- K. N. Toosi University of Technology
کلمات کلیدی :
Control Theory،Data-Driven Control،Predictive Control
چکیده :
This paper compares data-driven predictive control strategies by examining their theoretical foundations, assumptions, and applications. Each of these strategies is systematically reviewed, and the primary theories supporting it are outlined. Following analysis, a discussion is provided regarding their fundamental assumptions, emphasizing their influence on control effectiveness. A numerical example is presented as a benchmark for comparison to enable a rigorous performance evaluation.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.2.8