1 |
Information-Theoretic Joint Probabilistic Data Association Filter He SM, Shin HS, Tsourdos A IEEE Transactions on Automatic Control, 66(3), 1262, 2021 |
2 |
Improved Calibration of Numerical Integration Error in Sigma-Point Filters Pruher J, Karvonen T, Oates CJ, Straka O, Sarkka S IEEE Transactions on Automatic Control, 66(3), 1286, 2021 |
3 |
Temporal Parallelization of Bayesian Smoothers Sarkka S, Garcia-Fernandez AF IEEE Transactions on Automatic Control, 66(1), 299, 2021 |
4 |
Deep-learning modeling and control optimization framework for intelligent thermal power plants: A practice on superheated steam temperature Wang Q, Pan L, Lee KY, Wu Z Korean Journal of Chemical Engineering, 38(10), 1983, 2021 |
5 |
Interaction-Based Distributed Learning in Cyber-Physical and Social Networks Sasso F, Coluccia A, Notarstefano G IEEE Transactions on Automatic Control, 65(1), 223, 2020 |
6 |
Nonlinear Filtering Method Using a Switching Error Model for Outlier-Contaminated Observations Nakabayashi A, Ueno G IEEE Transactions on Automatic Control, 65(7), 3150, 2020 |
7 |
Stochastic Control Framework for Determining Feasible Alternatives in Sampling Allocation Peng YJ, Song J, Xu J, Chong EKP IEEE Transactions on Automatic Control, 65(6), 2647, 2020 |
8 |
Event-Triggered Discrete-Time Cubature Kalman Filter for Nonlinear Dynamical Systems With Packet Dropout Kooshkbaghi M, Marquez HJ IEEE Transactions on Automatic Control, 65(5), 2278, 2020 |
9 |
Predicting industrial-scale cell culture seed trains-A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method Rodriguez TH, Posch C, Schmutzhard J, Stettner J, Weihs C, Portner R, Frahm B Biotechnology and Bioengineering, 116(11), 2944, 2019 |
10 |
Long-term electricity consumption forecasting based on expert prediction and fuzzy Bayesian theory Tang L, Wang XF, Wang XL, Shao CC, Liu SY, Tian SJ Energy, 167, 1144, 2019 |