| A robust extended Kalman filter for power system dynamic state estimation using PMU measurements | Apr 5, 2021 | State Estimation | —Unverified | 0 |
| A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation | Jun 6, 2021 | RelationState Estimation | —Unverified | 0 |
| Abstraction-Free Control Synthesis to Satisfy Temporal Logic Constraints under Sensor Faults and Attacks | Aug 22, 2022 | State Estimation | —Unverified | 0 |
| Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems | Sep 1, 2023 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Mahalanobis distance-based robust approaches against false data injection attacks on dynamic power state estimation | May 19, 2021 | State Estimation | —Unverified | 0 |
| Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments | Oct 23, 2024 | State Estimation | —Unverified | 0 |
| Approximate Optimal Filter for Linear Gaussian Time-invariant Systems | Mar 9, 2021 | State Estimation | —Unverified | 0 |
| Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF | Nov 21, 2022 | State Estimation | —Unverified | 0 |
| A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion | Jan 15, 2021 | PositionSensor Fusion | —Unverified | 0 |
| A Gaussian process latent force model for joint input-state estimation in linear structural systems | Mar 29, 2019 | Gaussian ProcessesState Estimation | —Unverified | 0 |
