Data-driven inference on optimal input-output properties of polynomial systems with focus on nonlinearity measures. IEEE Trans. Automat. Control, (68)5:2832 - 2847, 2023. [PUMA: PN4 curated EXC2075 PN4-2(II) merged]
Data-driven system analysis of nonlinear systems using polynomial approximation. IEEE Trans. Automat. Control, DOI: 10.1109/TAC.2023.3321212 (early access), 2022. [PUMA: PN4 curated EXC2075 PN4-2(II)]
Data-driven system analysis of nonlinear systems using polynomial approximation. IEEE Trans. Automat. Control (early access), 2023. [PUMA: PN4 curated EXC2075 PN4-2(II)]
Determining dissipativity for nonlinear systems from noisy data using Taylor polynomial approximation. Proc. American Control Conf. (ACC), 1432-1437, Atlanta, GA, USA, 2022. [PUMA: PN4-2 PN4 curated EXC2075 PN4-2(II)]
Gaussian inference for data-driven state-feedback design of nonlinear systems. 22nd IFAC World Congress, 4796-4803, 2023. [PUMA: PN4 curated EXC2075 PN4-2(II)]
Gaussian inference for data-driven state-feedback design of nonlinear systems. 22nd IFAC World Congress (accepted), Preprint: arXiv:2211.05639, 22nd IFAC World Congress (accepted), Preprint: arXiv:2211.05639, 2022. [PUMA: PN4 curated EXC2075 PN4-2(II)]
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. Annual Reviews in Control (submitted), Preprint: arXiv:2306.16042, 2023. [PUMA: PN4 curated EXC2075 PN4-2(II)]
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. Annual Reviews in Control, (56):100911, 2023. [PUMA: PN4 curated EXC2075 PN4-2(II)]