[HTML][HTML] Machine learning and data-driven techniques for the control of smart power generation systems: An uncertainty handling perspective

L Sun, F You - Engineering, 2021 - Elsevier
Due to growing concerns regarding climate change and environmental protection, smart
power generation has become essential for the economical and safe operation of both …

A new recurrent radial basis function network-based model predictive control for a power plant boiler temperature control

J Tavoosi, A Mohammadzadeh - International Journal of Engineering, 2021 - ije.ir
In this paper, a new radial basis function network-based model predictive control (RBFN-
MPC) is presented to control the steam temperature of a power plant boiler. For the first time …

Robust model predictive control with bi-level optimization for boiler-turbine system

L Wang, Y Cai, B Ding - IEEE Access, 2021 - ieeexplore.ieee.org
A robust model predictive control (MPC) with bi-level optimization is proposed for nonlinear
boiler-turbine system. The nonlinear dynamics are described by multiple local models …

[PDF][PDF] An Experimental Investigation of The Dynamic Effects in Upper Drum Boiler Under Steam Mass Flow Rate Variation

R Mohammed, H Hussein, AH Numan - Engineering and Technology …, 2021 - iasj.net
Boilers are closed containers in which water is transferred to steam under pressure and
through the application of heat. The furnace of a boiler can convert the chemical energy in …

Optimal Tracking Control of the Boiler-turbine System Based on Adaptive Dynamic Programming

Y Liu, A Gao, Q Wei - 2021 International Joint Conference on …, 2021 - ieeexplore.ieee.org
To guarantee the efficient performance of the power plant, an adaptive tacking controller for
the nonlinear boiler-turbine system based on offline policy iteration adaptive dynamic …