| Particle MPC for Uncertain and Learning-Based Control | Apr 6, 2021 | Model-based Reinforcement LearningModel Predictive Control | —Unverified | 0 |
| Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling | Apr 6, 2021 | parameter estimationState Estimation | —Unverified | 0 |
| A robust extended Kalman filter for power system dynamic state estimation using PMU measurements | Apr 5, 2021 | State Estimation | —Unverified | 0 |
| Bayesian Estimation of Graph Signals | Mar 29, 2021 | State Estimation | —Unverified | 0 |
| Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system | Mar 29, 2021 | BIG-bench Machine LearningState Estimation | —Unverified | 0 |
| Embedding Power Flow into Machine Learning for Parameter and State Estimation | Mar 26, 2021 | BIG-bench Machine LearningState Estimation | —Unverified | 0 |
| CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks | Mar 25, 2021 | energy managementManagement | —Unverified | 0 |
| Strong Detectability and Observers for Linear Time Varying Systems | Mar 23, 2021 | State Estimation | —Unverified | 0 |
| Handling Missing Observations with an RNN-based Prediction-Update Cycle | Mar 22, 2021 | ImputationState Estimation | —Unverified | 0 |
| A Proximal Point Approach for Distributed System State Estimation | Mar 21, 2021 | State Estimation | —Unverified | 0 |
