| 1 |
Convergence of Optimal Linear Estimator With Multiplicative and Time-Correlated Additive Measurement Noises
Liu W, Shi P
IEEE Transactions on Automatic Control, 64(5), 2190, 2019 |
| 2 |
Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks
Mason K, Duggan J, Howley E
Energy, 155, 705, 2018 |
| 3 |
Moment-based analysis of stochastic hybrid systems with renewal transitions
Soltani M, Singh A
Automatica, 84, 62, 2017 |
| 4 |
Grey-box model identification of temperature dynamics in a photobioreactor
Jimenez-Gonzalez A, Adam-Medina M, Franco-Nava MA, Guerrero-Ramirez CV
Chemical Engineering Research & Design, 121, 125, 2017 |
| 5 |
RANK DEFICIENCY OF KALMAN ERROR COVARIANCE MATRICES IN LINEAR TIME-VARYING SYSTEM WITH DETERMINISTIC EVOLUTION
Gurumoorthy KS, Grudzien C, Apte A, Carrassi A, Jones CKRT
SIAM Journal on Control and Optimization, 55(2), 741, 2017 |
| 6 |
Multi-purpose economic optimal experiment design applied to model based optimal control
Telen D, Houska B, Logist F, Van Impe J
Computers & Chemical Engineering, 94, 212, 2016 |
| 7 |
Reliability constrained unit commitment with combined hydro and thermal generation embedded using self-learning group search optimizer
Zheng JH, Chen JJ, Wu QH, Jing ZX
Energy, 81, 245, 2015 |
| 8 |
Determining a dynamic model for flotation circuits using plant data to implement a Kalman filter for data reconciliation
Vasebi A, Poulin E, Hodouin D
Minerals Engineering, 83, 192, 2015 |
| 9 |
Extended accuracy analysis of a covariance matching approach for identifying errors-in-variables systems
Soderstrom T, Kreiberg D, Mossberg M
Automatica, 50(10), 2597, 2014 |
| 10 |
COMPARISON OF METHODS FOR ESTIMATION OF THE COVARIANCE MATRIX OF MEASUREMENT ERRORS
Feital T, Prata DM, Pinto JC
Canadian Journal of Chemical Engineering, 92(12), 2228, 2014 |
