Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of …
This paper presents hybrid control approaches for heating air supply in response to changes
in demand by using the Fuzzy Inference System (FIS) and Artificial Neural Network (ANN) …
in demand by using the Fuzzy Inference System (FIS) and Artificial Neural Network (ANN) …
Intelligent VIV control of 2DOF sprung cylinder in laminar shear-thinning and shear-thickening cross-flow based on self-tuning fuzzy PID algorithm
SM Hasheminejad, R Fallahi - Marine Structures, 2023 - Elsevier
A self-tuning fuzzy PID (ST-FPID) control scheme is implemented within a joint interactive
(Matlab/Simulink/Fluent) co-simulation framework for effective two degrees of freedom …
(Matlab/Simulink/Fluent) co-simulation framework for effective two degrees of freedom …
Improving sustainability of ever-changing building spaces affected by users' fickle taste: A focus on human comfort and energy use
The building spaces have been planned to satisfy the various conditions required for each
use. However, actual users often utilize the building spaces by the changes in their …
use. However, actual users often utilize the building spaces by the changes in their …
A new approach to design of control systems using genetic programming
In this paper a new approach to automatic design of control systems is proposed. It is based
on a knowledge about modelling object and capabilities of the genetic programming. In …
on a knowledge about modelling object and capabilities of the genetic programming. In …
Improving the quality of building spaces that are planned mainly on loads rather than residents: Human comfort and energy savings for warehouses
Abstract The US Census Bureau reported the information that over ten thousand large
commercial warehouses were being operated, and that over five hundred thousand workers …
commercial warehouses were being operated, and that over five hundred thousand workers …
Genetic programming algorithm for designing of control systems
Genetic programming algorithms and other population-based methods are a convenient tool
for solving complex interdisciplinary problems. Their characteristic feature is that they flexibly …
for solving complex interdisciplinary problems. Their characteristic feature is that they flexibly …
Performance analysis of space heating smart control models for energy and control effectiveness in five different climate zones
This paper compares smart control models for heating supply air among five different climate
conditions to discuss the effectiveness of machine learning tools in terms of control and …
conditions to discuss the effectiveness of machine learning tools in terms of control and …
Dead-band vs. machine-learning control systems: Analysis of control benefits and energy efficiency
In residential and commercial buildings, thermostat controllers have been typically utilized to
maintain room temperature near desired set-point. Recently, advanced computing and …
maintain room temperature near desired set-point. Recently, advanced computing and …
Comparative analyses of energy efficiency between on-demand and predictive controls for buildings' indoor thermal environment
LY Sung, J Ahn - Energies, 2020 - mdpi.com
Advanced thermal control technologies have been continuously developed to complement
conventional models and algorithms to improve their performance regarding control …
conventional models and algorithms to improve their performance regarding control …
Aspects of structure and parameters selection of control systems using selected multi-population algorithms
K Łapa, J Szczypta, R Venkatesan - … 2015, Zakopane, Poland, June 14-18 …, 2015 - Springer
In this paper a new approach for automatic design of control systems is presented. It is
based on multi-population algorithms and allows to select not only parameters of control …
based on multi-population algorithms and allows to select not only parameters of control …