| 1 |
Bias of Homotopic Gradient Descent for the Hinge Loss
Molitor D, Needell D, Ward R
Applied Mathematics and Optimization, 84(1), 621, 2021 |
| 2 |
Calibration and verification of DEM parameters for the quantitative simulation of pharmaceutical powder compression process
Gao YJ, De Simone G, Koorapaty M
Powder Technology, 378, 160, 2021 |
| 3 |
Secure State Estimation for Multiagent Systems With Faulty and Malicious Agents
Lu AY, Yang GH
IEEE Transactions on Automatic Control, 65(8), 3471, 2020 |
| 4 |
Gradient Flow Algorithms for Density Propagation in Stochastic Systems
Caluya KF, Halder A
IEEE Transactions on Automatic Control, 65(10), 3991, 2020 |
| 5 |
Switched projected gradient descent algorithms for secure state estimation under sparse sensor attacks
Lu AY, Yang GH
Automatica, 103, 503, 2019 |
| 6 |
Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework
Qu TM, Feng YT, Zhao T, Wang M
Powder Technology, 356, 795, 2019 |
| 7 |
Optimal distributed stochastic mirror descent for strongly convex optimization
Yuan DM, Hong YG, Ho DWC, Jiang GP
Automatica, 90, 196, 2018 |
| 8 |
A DATA-DRIVEN FAULT DETECTION APPROACH WITH PERFORMANCE OPTIMIZATION
Li LL, Ding SX, Peng KX, Han HY, Yang Y, Yang X
Canadian Journal of Chemical Engineering, 96(2), 507, 2018 |
| 9 |
Analysis of Gradient Descent Methods With Nondiminishing Bounded Errors
Ramaswamy A, Bhatnagar S
IEEE Transactions on Automatic Control, 63(5), 1465, 2018 |
| 10 |
Maximum Efficiency Control of PMSM Drives Considering System Losses Using Gradient Descent Algorithm Based on DC Power Measurement
Balamurali A, Feng GD, Lai CY, Tjong J, Kar NC
IEEE Transactions on Energy Conversion, 33(4), 2240, 2018 |
