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Data-driven parallel linear controllers for reference tracking in nonlinear systems
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DOI：10.1016/j.isatra.2025.05.048.png)
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Abstract
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• Propose a data-driven two-parallel-linear controller for nonlinear tracking. • High-dimensional Koopman based linear controller for inverse control. • Closed-loop stability hinges on the high-dimensional model’s sufficient accuracy. • A parallel linear controller mitigates high-dimensional errors.
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