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Koopman-Based Robust Model Predictive Control for Nonlinear Systems with Stochastic Intermittent Measurements

arXiv:2609.02079v2 Announce Type: replace-cross Abstract: Intermittent state measurements pose fundamental challenges to model predictive control of constrained nonlinear systems because prediction uncertainty grows during feedback outages and measurement-triggered resets disrupt nominal state…

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Original headline
Koopman-Based Robust Model Predictive Control for Nonlinear Systems with Stochastic Intermittent Measurements
Read the original: arXiv — Systems and Control (eess.SY)

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