[HTML][HTML] A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins
Nowadays, one important challenge in cyber-physical production systems is updating
dynamic production schedules through an automated decision-making performed while the …
dynamic production schedules through an automated decision-making performed while the …
A survey on industrial applications of fuzzy control
RE Precup, H Hellendoorn - Computers in industry, 2011 - Elsevier
Fuzzy control has long been applied to industry with several important theoretical results
and successful results. Originally introduced as model-free control design approach, model …
and successful results. Originally introduced as model-free control design approach, model …
Grey wolf optimizer algorithm-based tuning of fuzzy control systems with reduced parametric sensitivity
This paper proposes an innovative tuning approach for fuzzy control systems (CSs) with a
reduced parametric sensitivity using the Grey Wolf Optimizer (GWO) algorithm. The CSs …
reduced parametric sensitivity using the Grey Wolf Optimizer (GWO) algorithm. The CSs …
[HTML][HTML] Exploring the intricacies of machine learning-based optimization of electric discharge machining on squeeze cast TiB2/AA6061 composites: Insights from …
Abstract Aluminium (Al) Alloy-6061/TiB 2 was developed with Squeeze casting while varying
composite quantities with titanium diboride (TiB 2). The metallographic structure of the …
composite quantities with titanium diboride (TiB 2). The metallographic structure of the …
[HTML][HTML] A two-step machine learning approach for dynamic model selection: A case study on a micro milling process
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 …
from the system's output; but, in many real-world applications this feedback is not available …
Cloud-based industrial cyber–physical system for data-driven reasoning: A review and use case on an industry 4.0 pilot line
Nowadays, reconfiguration and adaptation by means of optimal re-parameterization in
Industrial Cyber-Physical Systems (ICPSs) is one of the bottlenecks for the digital …
Industrial Cyber-Physical Systems (ICPSs) is one of the bottlenecks for the digital …
DSP-based cross-coupled synchronous control for dual linear motors via intelligent complementary sliding mode control
A digital signal processor (DSP)-based cross-coupled intelligent complementary sliding
mode control (ICSMC) system is proposed in this paper for the synchronous control of a dual …
mode control (ICSMC) system is proposed in this paper for the synchronous control of a dual …
Fault-tolerant control for six-phase PMSM drive system via intelligent complementary sliding-mode control using TSKFNN-AMF
An intelligent complementary sliding-mode control (CSMC)(ICSMC) is proposed in this
paper for the fault-tolerant control of a six-phase permanent-magnet synchronous motor …
paper for the fault-tolerant control of a six-phase permanent-magnet synchronous motor …
Recurrent fuzzy neural cerebellar model articulation network fault-tolerant control of six-phase permanent magnet synchronous motor position servo drive
FJ Lin, IF Sun, KJ Yang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
A recurrent fuzzy neural cerebellar model articulation network (RFNCMAN) fault-tolerant
control of a six-phase permanent magnet synchronous motor (PMSM) position servo drive is …
control of a six-phase permanent magnet synchronous motor (PMSM) position servo drive is …
Fault-tolerant control of a six-phase motor drive system using a Takagi–Sugeno–Kang type fuzzy neural network with asymmetric membership function
A Takagi-Sugeno-Kang type fuzzy neural network with asymmetric membership function
(TSKFNN-AMF) is proposed in this study for the fault-tolerant control of a six-phase …
(TSKFNN-AMF) is proposed in this study for the fault-tolerant control of a six-phase …