| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A machine learning approach to simulate flexible body dynamics
|
Slimak, Tomas
|
|
|
64 |
3 |
p. 515-541
|
artikel
|
| 2 |
Anomalously acting agents: the deployment problem
|
Wenger, Ingeborg
|
|
|
64 |
3 |
p. 465-483
|
artikel
|
| 3 |
Combined recurrent neural networks and particle-swarm optimization for sideslip-angle estimation based on a vehicle multibody dynamics model
|
Sun, Yu
|
|
|
64 |
3 |
p. 361-381
|
artikel
|
| 4 |
Hybrid modeling of multibody vehicles with partially known physics: discovering complex behaviors of tires
|
Askari, Ehsan
|
|
|
64 |
3 |
p. 383-414
|
artikel
|
| 5 |
Load torque estimation for cable failure detection in cable-driven parallel robots: a machine learning approach
|
Bettega, Jason
|
|
|
64 |
3 |
p. 485-513
|
artikel
|
| 6 |
MBD-NODE: physics-informed data-driven modeling and simulation of constrained multibody systems
|
Wang, Jingquan
|
|
|
64 |
3 |
p. 543-585
|
artikel
|
| 7 |
Mutual information-based feature selection for inverse mapping parameter updating of dynamical systems
|
Kessels, Bas M.
|
|
|
64 |
3 |
p. 437-464
|
artikel
|
| 8 |
Preface for Special Issue on “Artificial Intelligence within Multibody System Dynamics”
|
Gerstmayr, Johannes
|
|
|
64 |
3 |
p. 333-334
|
artikel
|
| 9 |
Reliability evaluation of reinforcement learning methods for mechanical systems with increasing complexity
|
Manzl, Peter
|
|
|
64 |
3 |
p. 335-359
|
artikel
|
| 10 |
SID-Net: machine learning based system identification framework for rigid and flexible multibody dynamics
|
Jang, Sung Il
|
|
|
64 |
3 |
p. 415-436
|
artikel
|
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