An improved tracking-learning-detection method W Hailong, W Guangyu, L Jianxun 2015 34th Chinese Control Conference (CCC), 3858-3863, 2015 | 15 | 2015 |
Non-Gaussian Bayesian filtering by density parametrization using power moments G Wu, A Lindquist Automatica 153, 111061, 2023 | 9 | 2023 |
General distribution steering: A sub-optimal solution by convex optimization G Wu, A Lindquist arXiv preprint arXiv:2301.06227, 2023 | 6 | 2023 |
Density steering by power moments G Wu, A Lindquist IFAC-PapersOnLine 56 (2), 3423-3428, 2023 | 6 | 2023 |
Group steering: Approaches based on power moments G Wu, A Lindquist arXiv preprint arXiv:2211.13370, 2022 | 3 | 2022 |
A multivariate non-Gaussian Bayesian filter using power moments G Wu, A Lindquist IEEE Transactions on Automatic Control, 2024 | 2 | 2024 |
A non-classical parameterization for density estimation using sample moments G Wu, A Lindquist Statistical Papers, 1-25, 2024 | 1 | 2024 |
General Discrete-Time Fokker-Planck Control by Power Moments G Wu, A Lindquist arXiv preprint arXiv:2308.14315, 2023 | 1 | 2023 |
Quantitative Error Analyses of Spectral Density Estimators Using Covariance Lags G Wu, A Lindquist arXiv preprint arXiv:2303.11084, 2023 | 1 | 2023 |
A dynamic bias analysis of the pseudolinear Kalman filter for bearings-only estimation G Wu, J Li 2015 IEEE International Conference on Signal Processing, Communications and …, 2015 | 1 | 2015 |
A non-Gaussian Bayesian filter using power and generalized logarithmic moments G Wu, A Lindquist Automatica 166, 111748, 2024 | | 2024 |
Distribution Steering for Discrete-Time Uncertain Ensemble Systems G Wu, P Tsiotras, A Lindquist arXiv preprint arXiv:2405.12415, 2024 | | 2024 |