A neural network-based optimizing control system for a seawater-desalination solar-powered membrane distillation unit

R Porrazzo, A Cipollina, M Galluzzo… - Computers & Chemical …, 2013 - Elsevier
Several schemes have been proposed so far for coupling desalination processes with the
use of renewable energy. One of their main drawbacks, however, is the nature of the energy …

Model predictive control for systems with fast dynamics using inverse neural models

M Stogiannos, A Alexandridis, H Sarimveis - ISA transactions, 2018 - Elsevier
In this work, a novel model predictive control (MPC) scheme is introduced, by integrating
direct and indirect neural control methodologies. The proposed approach makes use of a …

Model and control scheme for recirculation mode direct steam generation parabolic trough solar power plants

S Guo, D Liu, X Chen, Y Chu, C Xu, Q Liu, L Zhou - Applied energy, 2017 - Elsevier
This work describes and evaluates a new nonlinear dynamic model, and a new generalized
predictive control scheme for a collector field of direct steam generation parabolic troughs in …

Climatic sensorless maximum power point tracking in PV generation systems

H El Fadil, F Giri - Control Engineering Practice, 2011 - Elsevier
The problem of maximum power point tracking (MPPT) is addressed for photovoltaic (PV)
arrays considered in a given panel position. The PV system includes a PV panel, a PWM …

A direct self-constructing neural controller design for a class of nonlinear systems

H Han, W Zhou, J Qiao, G Feng - IEEE Transactions on Neural …, 2015 - ieeexplore.ieee.org
This paper is concerned with the problem of adaptive neural control for a class of uncertain
or ill-defined nonaffine nonlinear systems. Using a self-organizing radial basis function …

A switching control strategy applied to a solar collector field

M Pasamontes, JD Álvarez, JL Guzmán… - Control Engineering …, 2011 - Elsevier
This work presents a new switching control procedure that has been chosen to deal with the
changes in plant dynamics. Several control systems composed of IMC-based PID controllers …

Efficient hardware implementation of radial basis function neural network with customized-precision floating-point operations

HVH Ayala, DM Muñoz, CH Llanos… - Control Engineering …, 2017 - Elsevier
This paper aims at the proposition of novel architectures for radial basis function neural
networks implementation on hardware with custom-precision floating-point operations for …

[HTML][HTML] Energy performance of a solar cavity receiver with neural output flow regulation under controlled conditions

J Ruelas, F Munoz, J Palomares, J Delfin… - Case Studies in Thermal …, 2022 - Elsevier
This article presents the theoretical and experimental performance of a Solar Cavity
Receiver (SCR) which operates under controlled conditions of radiation and flow regulation …

Tuning of a TS fuzzy output regulator using the steepest descent approach and ANFIS

R Tapia-Herrera, JA Meda-Campaña… - Mathematical …, 2013 - Wiley Online Library
The exact output regulation problem for Takagi‐Sugeno (TS) fuzzy models, designed from
linear local subsystems, may have a solution if input matrices are the same for every local …

基于遗传算法改进的太阳能跟踪控制

甘屹, 郭家忠, 王子健, 陈成, 曾乐才, 杨家荣 - 控制工程, 2015 - cqvip.com
提出采用基于遗传算法的选择机制与吸热塔能量变化的反馈机制相结合的方式对光热电站的
太阳能跟踪控制系统进行改进, 以光热电站中少数几台配备光电检测元件的定日镜控制角度为 …