… In this paper, a new radial basis function network-based model predictive control (… boiler.
For the first time in this paper the Laguerre polynomials are used to obtain local boiler models …

… of Radial basis function based neural network model of biomass boiler system with model
predictive … the response of biomass boiler which is a 4 × 3 MIMO model with and without using …

… is the steam boiler nonlinear mathematical model. The furnace chamber heat transfer is
modelled … [19] used the first principle law to develop a nonlinear dynamic model of a boiler. The …

… A nonlinear dynamic model representing a 500 MW subcritical BT unit in Shentou #2 power
… to the widely-used radial basis function network (RBFN) model, each local model in the LMN …

… of the system, a 300MW unit model is adopted in this paper. After analyzing its dynamic
characteristics, we decide to use … The load control system of the unit generates boiler and turbine …

… This model has been widely used in drum boiler turbine system modeling and control … ,
model predictive control and adaptive control have been applied to drum boiler turbine system in …

… output radial basis function-based auto-regressive model with … drawbacks of controlling
boiler-turbine system: linearization … the inherent non-linear dynamics of boiler-turbine system and …

… The nonlinear dynamics of turbine generator shaft trains for power generation are investigated
in this thesis. Realistic models of rotors, pedestals, and nonlinear … The boiler uses an heat …

… In this paper, the nonlinear dynamics of the boiler-turbine system is approximated by a global
LPV model … -turbine system using a radial basis function neural network,’’ Int. J. Robust …

… market requires operating steam turbines that have … system based on the Nonlinear Model
Predictive Control (NMPC) technique, which allows to speed up the start-up of steam turbines …