[PDF][PDF] Data-driven model-free sliding mode and fuzzy control with experimental validation

RE Precup, RC Roman, EL Hedrea… - … . Commun. Control, 2021 - academia.edu
applications of fuzzy control are exemplified in [23], [3], [33], [47], [41], [5], [7], [59]. The advantages
of fuzzy control and data-driven model-free control … design processes for all controllers

Artificial intelligence systems for tool condition monitoring in machining: Analysis and critical review

DY Pimenov, A Bustillo, S Wojciechowski… - Journal of Intelligent …, 2023 - Springer
… Adaptive neuro-fuzzy inference systems … in machining due to its flexibility and easy to adapt
for any process. … especially in specific applications such as grinding, drilling, as they have …

Quality monitoring of complex manufacturing systems on the basis of model driven approach

F Castaño, RE Haber, WM Mohammed… - Smart Structures …, 2020 - researchportal.tuni.fi
… Milling, drilling and turning cover a wide variety of different … To further illustrate applications
of AI techniques for … for modeling systems through a neuro-fuzzy system has not been yet fully …

[HTML][HTML] A hybrid approach of anfis—artificial bee colony algorithm for intelligent modeling and optimization of plasma arc cutting on monel™ 400 alloy

MS Kumar, D Rajamani, EA Nasr, E Balasubramanian… - Materials, 2021 - ncbi.nlm.nih.gov
… in engineering and structural applications due to its unique … ] have proposed a transductive
neuro-fuzzy inference system … modeling of several machining processes such as drilling [35], …

Recent Trends, Developments, and Emerging Technologies towards Sustainable Intelligent Machining: A Critical Review, Perspectives and Future Directions

M Asif, H Shen, C Zhou, Y Guo, Y Yuan, P Shao, L Xie… - Sustainability, 2023 - mdpi.com
transductive neuro-fuzzy model application in turning tests provided better tool wear accuracy
compared to the effects obtained with inductive neuro-fuzzy … in boring operation [65]. A …

[HTML][HTML] A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins

A Villalonga, E Negri, G Biscardo, F Castano… - … Reviews in Control, 2021 - Elsevier
… such as Fuzzy and Neuro-Fuzzy Systems, that can be used by … exchange method, which is
independent from the application … in the process, a shaker was applied to the drilling tool. The …

A Hybrid Approach of ANFIS—Artificial Bee Colony Algorithm for Intelligent Modeling and Optimization of Plasma Arc Cutting on Monel™ 400 Alloy

M Siva Kumar, D Rajamani, E Abouel Nasr… - Materials, 2021 - mdpi.com
… in engineering and structural applications due to its unique … ] have proposed a transductive
neuro-fuzzy inference system … modeling of several machining processes such as drilling [35], …

Self-attention mechanism for dynamic multi-step ROP prediction under continuous learning structure

Y Liu, F Zhang, S Yang, J Cao - Geoenergy Science and Engineering, 2023 - Elsevier
… Consequently, it is employed in ROP prediction, and a transduction model … real-time drill
data of four wells are chosen to simulate the actual drill … adaptive neuro-fuzzy inference system …

[HTML][HTML] A two-step machine learning approach for dynamic model selection: A case study on a micro milling process

YJ Cruz, M Rivas, R Quiza, RE Haber, F Castaño… - Computers in …, 2022 - Elsevier
Generally, dynamic model selection is implemented using algorithms that need a feedback
from the system’s output; but, in many real-world applications this feedback is not available. …

A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines

KTP Nguyen, K Medjaher, DT Tran - Artificial Intelligence Review, 2023 - Springer
… their developments in different PHM application areas. The … Among those, transductive
learning, which aims to separate … its hybrid variants such as neuro-fuzzy systems or ANFIS also …