| 1 |
A RBF-ARX model-based robust MPC for tracking control without steady state knowledge
Zhou F, Peng H, Qin YM, Zeng XY, Tian XY, Xu WQ
Journal of Process Control, 51, 42, 2017 |
| 2 |
On stability analysis via Lyapunov exponents calculated based on radial basis function networks
Sun YM, Wang XP, Wu Q, Sepehri N
International Journal of Control, 84(8), 1326, 2011 |
| 3 |
On-line steam production prediction for a municipal solid waste incinerator by fully tuned minimal RBF neural networks
Giantomassi A, Ippoliti G, Longhi S, Bertini I, Pizzuti S
Journal of Process Control, 21(1), 164, 2011 |
| 4 |
Prediction of building's temperature using neural networks models
Ruano AE, Crispim EM, Conceicao EZE, Lucio MMJR
Energy and Buildings, 38(6), 682, 2006 |
| 5 |
Nonlinear adaptive model predictive control based on self-correcting neural network models
Alexandridis A, Sarimveis H
AIChE Journal, 51(9), 2495, 2005 |
| 6 |
State estimation of continuous-time radial basis function networks
Elanayar VTS, Shin YC
Automatica, 36(3), 399, 2000 |
| 7 |
Principal component analysis for nonlinear model reference adaptive control
McLain RB, Henson MA
Computers & Chemical Engineering, 24(1), 99, 2000 |
