| 1 |
Nonlinear state estimation with delayed measurements using data fusion technique and cubature Kalman filter for chemical processes
Zhao LQ, Wang RT, Wang JL, Yu T, Su AD
Chemical Engineering Research & Design, 141, 502, 2019 |
| 2 |
A geometric observer design for a semi-batch free-radical polymerization system
Salas SD, Romagnoli JA, Tronci S, Baratti R
Computers & Chemical Engineering, 126, 391, 2019 |
| 3 |
Rao-Blackwellized Gaussian Smoothing
Hostettler R, Sarkka S
IEEE Transactions on Automatic Control, 64(1), 305, 2019 |
| 4 |
Accurate Smoothing Methods for State Estimation of Continuous-Discrete Nonlinear Dynamic Systems
Wang YH, Zhang HB, Mao X, Li Y
IEEE Transactions on Automatic Control, 64(10), 4284, 2019 |
| 5 |
A hybrid approach for bioprocess state estimation using NIR spectroscopy and a sigma-point Kalman filter
Kramer D, King R
Journal of Process Control, 82, 91, 2019 |
| 6 |
Real-time Optimization with persistent parameter adaptation using online parameter estimation
Matias JOA, Le Roux GAC
Journal of Process Control, 68, 195, 2018 |
| 7 |
Nonlinear moving horizon estimation in the presence of bounded disturbances
Muller MA
Automatica, 79, 306, 2017 |
| 8 |
Maximum likelihood estimation of noise covariance matrices for state estimation of autonomous hybrid systems
Bavdekar VA, Nandola NN, Patwardhan SC
Computers & Chemical Engineering, 94, 28, 2016 |
| 9 |
Robust Stability of Moving Horizon Estimation Under Bounded Disturbances
Ji L, Rawlings JB, Hu WH, Wynn A, Diehl M
IEEE Transactions on Automatic Control, 61(11), 3509, 2016 |
| 10 |
Nonlinear state estimation for fermentation process using cubature Kalman filter to incorporate delayed measurements
Zhao LQ, Wang JL, Yu T, Chen KY, Liu TJ
Chinese Journal of Chemical Engineering, 23(11), 1801, 2015 |
