Predictive Control for Nonlinear Stochastic Systems: Closed-Loop Guarantees With Unbounded Noise
We present a stochastic model predictive control framework for nonlinear systems subject to unbounded process noise with closed-loop guarantees. First, we provide a conceptual shrinking-horizon framework that utilizes general probabilistic reachable sets and minimizes the expected cost. Then, we pro...
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Published in | IEEE transactions on automatic control pp. 1 - 16 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
IEEE
2025
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Subjects | |
Online Access | Get full text |
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