Comparative Analysis of Data-Driven Predictive Control Strategies
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866914568227258368 |
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| author | Rezaei, Sohrab Khaki-Sedigh, Ali |
| author_facet | Rezaei, Sohrab Khaki-Sedigh, Ali |
| contents | This paper compares data-driven predictive control strategies by examining their theoretical foundations, assumptions, and applications. The three most widely recognized and consequential methods, Data Enabled Predictive Control, Willems-Koopman Predictive Control, Model-Free Adaptive Predictive Control are employed. 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_20098 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Comparative Analysis of Data-Driven Predictive Control Strategies Rezaei, Sohrab Khaki-Sedigh, Ali Systems and Control This paper compares data-driven predictive control strategies by examining their theoretical foundations, assumptions, and applications. The three most widely recognized and consequential methods, Data Enabled Predictive Control, Willems-Koopman Predictive Control, Model-Free Adaptive Predictive Control are employed. 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. |
| title | Comparative Analysis of Data-Driven Predictive Control Strategies |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2507.20098 |