Recursive feasibility of nonlinear stochastic model predictive control with Gaussian process dynamics

Landgraf D, Völz A, Graichen K (2026)

Publication Type: Journal article

Publication year: 2026

Journal

International Journal of Robust and Nonlinear Control Wiley-Blackwell

Book Volume: 36

Pages Range: 4957-4970

DOI: 10.1002/rnc.70470

Authors with CRIS profile

Daniel Landgraf Chair of Automatic Control (LRT/AC) Andreas Völz Chair of Automatic Control (LRT/AC) Knut Graichen Chair of Automatic Control (LRT/AC)

How to cite

APA:

Landgraf, D., Völz, A., & Graichen, K. (2026). Recursive feasibility of nonlinear stochastic model predictive control with Gaussian process dynamics. International Journal of Robust and Nonlinear Control, 36, 4957-4970. https://doi.org/10.1002/rnc.70470

MLA:

Landgraf, Daniel, Andreas Völz, and Knut Graichen. "Recursive feasibility of nonlinear stochastic model predictive control with Gaussian process dynamics." International Journal of Robust and Nonlinear Control 36 (2026): 4957-4970.

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