On-line set-point optimization for intelligent supervisory control and improvement of Q-learning convergence

SH Kim, KR Song, IY Kang, CI Hyon - Control Engineering Practice, 2021 - Elsevier
This paper proposes a design method of the Q-learning based intelligent supervisory control
system (ISCS) for optimal operation of the three step kiln process and a new practical …

Emergency supply chain management based on rough set–house of quality

Y He, XD Liang, FM Deng, Z Li - International Journal of Automation and …, 2019 - Springer
Due to the frequent occurrence of various emergencies in recent years, people have put
forward higher requirements on the emergency supply chain management. It is of great …

A fuzzy neural network based dynamic data allocation model on heterogeneous multi-GPUs for large-scale computations

CL Zhang, YP Xu, ZJ Xu, J He, J Wang… - International Journal of …, 2018 - Springer
The parallel computation capabilities of modern graphics processing units (GPUs) have
attracted increasing attention from researchers and engineers who have been conducting …

Performance improvement of NCSS under complex network via concurrent paths

ZY Wang, GP Liu - Journal of Systems Science and Complexity, 2019 - Springer
Different from the single paths between controllers and plants of networked control systems
(NCSs), the complex network provides widespread links and brings plenty of paths from the …

Integrated Control and Monitoring Systems in Urban Sewage Treatment Plants Using Advanced Process system

R Deepa, K Kumaresan, R Pravinkumar… - … Conference on Next …, 2022 - ieeexplore.ieee.org
The continuous improvement of the manufacturing sector and the quick development of
metropolitan areas, a substantial amount of manufacturing and household sewage is …

Intelligent industrial process control based on fuzzy logic and machine learning

H Zermane, R Kasmi - … Journal of Fuzzy System Applications (IJFSA), 2020 - igi-global.com
Manufacturing automation is a double-edged sword, on one hand, it increases productivity
of production system, cost reduction, reliability, etc. However, on the other hand it increases …

Internet-mediated automation of a cascade control system-an Engineering laboratory experiment

AL Sangeetha, N Bharathi… - … Journal of Electrical …, 2022 - journals.sagepub.com
The paper aims to enhance the controllability of a standalone cascade control system with
Internet architecture and promote the system to be accessible by remote students. The user …

[PDF][PDF] TRANSFORMING INDUSTRIAL SUPERVISION SYSTEMS: A COMPREHENSIVE APPROACH INTEGRATING MACHINE LEARNING TECHNIQUES AND …

H Zermane, A Ziar, H Madjour, D Touahar - sciendo.com
In addressing the mounting challenges of industrial supervision systems grappling with
intricate processes, this study pioneers a transformative paradigm centered on the SCIMAT …

Feature of Predicting the Thermal Characteristics of Machine Tools Using Feedforward Neural Networks

AN Polyakov, VV Pozevalkin, IP Nikitina - Proceedings of the 7th …, 2022 - Springer
The paper presents a method for predicting the thermal characteristics of machine tools
using a feedforward neural network. The method was based on the results of full-scale and …

[引用][C] Computational Intelligent Control System Using Support Vector Machine