| 1 |
Learning effective state-feedback controllers through efficient multilevel importance samplers
Menchon SA, Kappen HJ
International Journal of Control, 92(12), 2776, 2019 |
| 2 |
Stochastic optimal control via forward and backward stochastic differential equations and importance sampling
Exarchos I, Theodorou EA
Automatica, 87, 159, 2018 |
| 3 |
An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks
Wu J, Zhang CB, Chen ZH
Applied Energy, 173, 134, 2016 |
| 4 |
Energy markets and CO2 emissions: Analysis by stochastic copula autoregressive model
Marimoutou V, Soury M
Energy, 88, 417, 2015 |
| 5 |
Large Deviations and Importance Sampling for Systems of Slow-Fast Motion
Spiliopoulos K
Applied Mathematics and Optimization, 67(1), 123, 2013 |
| 6 |
LEAST SQUARES TEMPORAL DIFFERENCE METHODS: AN ANALYSIS UNDER GENERAL CONDITIONS
Yu HZ
SIAM Journal on Control and Optimization, 50(6), 3310, 2012 |
| 7 |
On the choice of importance distributions for unconstrained and constrained state estimation using particle filter
Prakash J, Patwardhan SC, Shah SL
Journal of Process Control, 21(1), 3, 2011 |
| 8 |
Identification and adaptive control of change-point ARX models via Rao-Blackwellized particle filters
Chen YG, Lai TL
IEEE Transactions on Automatic Control, 52(1), 67, 2007 |
