A review: State estimation based on hybrid models of Kalman filter and neural network

S Feng, X Li, S Zhang, Z Jian, H Duan… - Systems Science & …, 2023 - Taylor & Francis
In this paper, hybrid models of Kalman filter and neural network for state estimation are
reviewed of their corresponding academic achievements, the creation of which is a …

Temperature control of industrial coke furnace using novel state space model predictive control

R Zhang, A Xue, F Gao - IEEE transactions on industrial …, 2014 - ieeexplore.ieee.org
This paper proposes an enhanced model predictive control (MPC) using a new state space
structure for temperature control of an industrial coke furnace. The advantage of the …

Temperature homogenization of a solar trough field for performance improvement

AJ Sánchez, AJ Gallego, JM Escaño, EF Camacho - Solar Energy, 2018 - Elsevier
Optimal operation of solar plant is a challenge due to the multiple disturbances affecting the
plant. Research in optimal temperature set-point tracking is extensive whereas research …

Adaptive UKF-based model predictive control of a Fresnel collector field

AJ Gallego, AJ Sánchez, M Berenguel… - Journal of Process …, 2020 - Elsevier
One of the ways to improve the efficiency of solar energy plants is by using advanced control
and optimization algorithms. In particular, model predictive control strategies have been …

Nonlinear generalized predictive control of the crystal diameter in CZ-Si crystal growth process based on stacked sparse autoencoder

D Liu, N Zhang, L Jiang, XG Zhao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A new control structure with constant pulling speed for growing high-quality crystal in the
Czochralski (CZ) method is presented in this brief. In this control structure, the pulling speed …

Event-based MPC for defocusing and power production of a parabolic trough plant under power limitation

AJ Sánchez, AJ Gallego, JM Escaño, EF Camacho - Solar Energy, 2018 - Elsevier
Optimal operation of a solar plant is generally understood as a tracking of the optimal
working temperatures which maximize the net electric power. However, a commercial solar …

Temperature uniformity control of large-scale vertical quench furnaces for aluminum alloy thermal treatment

L Shen, J He, C Yang, W Gui… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The thermal treatment of aluminum alloy workpieces requires strict temperature uniformity in
large-scale vertical quench furnaces. To achieve the desired temperature uniformity in a …

Adaptive incremental state space MPC for collector defocusing of a parabolic trough plant

AJ Sánchez, AJ Gallego, JM Escaño, EF Camacho - Solar Energy, 2019 - Elsevier
Commercial solar plants produce energy around a nominal operating point in which the
solar field outlet temperature is high and close to the thermal limit of the heat transfer fluid …

Adaptive uncertainty compensation-based nonlinear model predictive control with real-time applications

M Çetin, B Bahtiyar, S Beyhan - Neural Computing and Applications, 2019 - Springer
In this paper, an adaptive model predictive controller (MPC) with a function approximator is
proposed to the control of the uncertain nonlinear systems. The proposed adaptive Sigmoid …

Neural network model predictive control optimisation for large wind turbines

B Han, X Kong, Z Zhang, L Zhou - … Generation, Transmission & …, 2017 - Wiley Online Library
Energy poverty limits the economy and social development throughout the world. Wind
turbine reduces the energy costs and facilitates the development of renewable energy …