1 |
Tensor network subspace identification of polynomial state space models Batselier K, Ko CY, Wong N Automatica, 95, 187, 2018 |
2 |
Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification Batselier K, Wong N Automatica, 95, 413, 2018 |
3 |
Frequency domain weighted nonlinear least squares estimation of parameter-varying differential equations Goos J, Lataire J, Louarroudi E, Pintelon R Automatica, 75, 191, 2017 |
4 |
Selective modal control for vibration reduction in flexible structures Canciello G, Cavallo A Automatica, 75, 282, 2017 |
5 |
Cost function shaping of the output error criterion Eckhard D, Bazanella AS, Rojas CR, Hjalmarsson H Automatica, 76, 53, 2017 |
6 |
A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification Batselier K, Chen ZM, Wong N Automatica, 84, 17, 2017 |
7 |
Tensor Network alternating linear scheme for MIMO Volterra system identification Batselier K, Chen ZM, Wong N Automatica, 84, 26, 2017 |
8 |
Continuous-time identification of periodically parameter-varying state space models Goos J, Pintelon R Automatica, 71, 254, 2016 |
9 |
On backward shift algorithm for estimating poles of systems Mi W, Qian T Automatica, 50(6), 1603, 2014 |
10 |
Evaluation of a Parameter Identification Method for Permanent Magnet AC Machines Through Parametric Sensitivity Analysis Babel AS, Cintron-Rivera JG, Foster SN, Strangas EG IEEE Transactions on Energy Conversion, 29(1), 240, 2014 |