Artificial intelligence in advanced manufacturing: Current status and future outlook

JF Arinez, Q Chang, RX Gao… - Journal of …, 2020 - asmedigitalcollection.asme.org
Today's manufacturing systems are becoming increasingly complex, dynamic, and
connected. The factory operations face challenges of highly nonlinear and stochastic activity …

[HTML][HTML] Application of a fuzzy ant colony system to solve the dynamic vehicle routing problem with uncertain service time

RJ Kuo, BS Wibowo, FE Zulvia - Applied Mathematical Modelling, 2016 - Elsevier
Abstract Service management has been an important issue for many companies, especially
for service-based companies. This paper studies a routing problem that is usually faced by …

[图书][B] Fuzzy control

N Siddique, N Siddique - 2014 - Springer
PD-like and PI-like fuzzy logic controllers (FLC) have the same characteristics as the
traditional PD and PI-type controllers. That is, PD-like FLC exhibits smaller overshoot, fast …

Continuous vocational training in response to the challenge of industry 4.0: Required skills and business results

JR Aranda, I Campos, C Cosculluela… - Journal of Industrial …, 2023 - jiem.org
Purpose: To identify the technical skills which, linked to digitalization processes, are
required to achieve different types of business results. Design/methodology/approach: The …

Nonlinear adaptive fractional order fuzzy PID control of a 2-link planar rigid manipulator with payload

V Kumar, KPS Rana - Journal of the Franklin Institute, 2017 - Elsevier
The main objective of this paper is to demonstrate that fractional order operators
(differentiator/integrator) can increased the robustness of an intelligent controller. In this …

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 …

Diagnosing the ADHD using a mixture of expert fuzzy models

R Yaghoobi Karimu, S Azadi - International Journal of Fuzzy Systems, 2018 - Springer
Screening and timely diagnosis of children with attention-deficit/hyperactivity disorder
(ADHD) are currently an important challenge in studies of children's ethology for increasing …

Review and comparison of intelligent optimization modelling techniques for energy forecasting and condition-based maintenance in pv plants

J Ferrero Bermejo, JF Gómez Fernández, R Pino… - Energies, 2019 - mdpi.com
Within the field of soft computing, intelligent optimization modelling techniques include
various major techniques in artificial intelligence. These techniques pretend to generate new …

Robust adaptive speed control of uncertain hybrid electric vehicle using electronic throttle control with varying road grade

AK Yadav, P Gaur - Nonlinear Dynamics, 2014 - Springer
The design objective of this paper is to apply various control techniques to control the speed
of a hybrid electric vehicle (HEV) using an electronic throttle control system (ETCS). The DC …

An assessment of spatial similarity degree between polylines on multi-scale, multi-source maps

A Chehreghan, R Ali Abbaspour - Geocarto international, 2017 - Taylor & Francis
Similarity between the objects has close association with the geometrical structure and
details of the objects. Therefore, in this study, a framework was presented based on the …