| 1 |
Finite dimensional estimation algebras with state dimension 3 and rank 2, Mitter conjecture
Shi J, Yau SST
International Journal of Control, 93(9), 2177, 2020 |
| 2 |
Linear prediction error methods for stochastic nonlinear models
Abdalmoaty MRH, Hjalmarsson H
Automatica, 105, 49, 2019 |
| 3 |
Modeling and identification of uncertain-input systems
Risuleo RS, Bottegal G, Hjalmarsson H
Automatica, 105, 130, 2019 |
| 4 |
Tensor network subspace identification of polynomial state space models
Batselier K, Ko CY, Wong N
Automatica, 95, 187, 2018 |
| 5 |
Diagnosability and detectability of multiple faults in nonlinear models
Verdiere N, Orange S
Journal of Process Control, 69, 1, 2018 |
| 6 |
Averaging for switched DAEs: Convergence, partial averaging and stability
Mostacciuolo E, Trenn S, Vasca F
Automatica, 82, 145, 2017 |
| 7 |
A flexible state-space model for learning nonlinear dynamical systems
Svensson A, Schon TB
Automatica, 80, 189, 2017 |
| 8 |
Tensor Network alternating linear scheme for MIMO Volterra system identification
Batselier K, Chen ZM, Wong N
Automatica, 84, 26, 2017 |
| 9 |
A randomized algorithm for nonlinear model structure selection
Falsone A, Piroddi L, Prandini M
Automatica, 60, 227, 2015 |
| 10 |
Self-tuning final product quality control of batch processes using kernel latent variable model
Jia RD, Mao ZZ, Wang FL, He DK
Chemical Engineering Research & Design, 94, 119, 2015 |
