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Stochastic model predictive control - how does it work?
Heirung TAN, Paulson JA, O'Leary J, Mesbah A
Computers & Chemical Engineering, 114, 158, 2018 |
| 2 |
An optimal filter based MPC for systems with arbitrary disturbances
Wang HK, Xu ZH, Zhao J, Jiang AP
Chinese Journal of Chemical Engineering, 25(5), 632, 2017 |
| 3 |
Tuning SISO offset-free Model Predictive Control based on ARX models
Huusom JK, Poulsen NK, Jorgensen SB, Jorgensen JB
Journal of Process Control, 22(10), 1997, 2012 |
| 4 |
Realistic disturbance modeling using Hidden Markov Models: Applications in model-based process control
Wong WC, Lee JH
Journal of Process Control, 19(9), 1438, 2009 |
| 5 |
From data to diagnosis and control using generalized orthonormal basis filters. Part I: Development of state observers
Patwardhan SC, Shah SL
Journal of Process Control, 15(7), 819, 2005 |
| 6 |
Robust disturbance modeling for model predictive control with application to multivariable ill-conditioned processes
Pannocchia G
Journal of Process Control, 13(8), 693, 2003 |
| 7 |
KLE-(V)AR: A new identification technique for reduced order disturbance models with application to sheet forming processes
Rigopoulos A, Arkun Y
Journal of Process Control, 11(6), 679, 2001 |
