A novel data-driven autoregressive estimator reconstructs unknown inputs to LTI MIMO systems and is strictly stable if and only if the system's invariant zeros lie inside the unit circle, a condition verifiable purely from input-output data.
Input- Output Data-Driven Representation: Non-Minimality and Stability
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A semidefinite program solved on an auxiliary system built from noisy input-output data produces a controller that solves the output regulation problem for the original MIMO discrete-time linear system.
citing papers explorer
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Data-Driven Unknown Input Reconstruction for MIMO Systems with Convergence Guarantees
A novel data-driven autoregressive estimator reconstructs unknown inputs to LTI MIMO systems and is strictly stable if and only if the system's invariant zeros lie inside the unit circle, a condition verifiable purely from input-output data.
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Output regulation via input-output data
A semidefinite program solved on an auxiliary system built from noisy input-output data produces a controller that solves the output regulation problem for the original MIMO discrete-time linear system.