Leveraging digital twin into dynamic production scheduling: A review
The digital twin is an emerging technology that enhances industrial digitalization, as it
establishes a dynamic virtual model that emulates a specific phenomenon of the …
establishes a dynamic virtual model that emulates a specific phenomenon of the …
Dynamic resource allocation using multi-agent control for manufacturing systems
The COVID-19 pandemic brings highly dynamic effects to manufacturing environments, such
as frequently shifting markets and unexpected disruptions. Such dynamic environments …
as frequently shifting markets and unexpected disruptions. Such dynamic environments …
Iterative learning control of stochastic linear systems with reference trajectory switching
A reference trajectory is specified for systems that repetitively execute the same finite
duration task in iterative learning control. In many current designs, the reference signal …
duration task in iterative learning control. In many current designs, the reference signal …
Iterative learning control of stochastic linear systems under switching of the reference trajectory and parameters
P Pakshin, J Emelianova… - 2021 29th Mediterranean …, 2021 - ieeexplore.ieee.org
The paper develops a new iterative learning control (ILC) law for a system in which the
reference trajectory and system parameters change between passes in a known manner …
reference trajectory and system parameters change between passes in a known manner …
A data-driven approach toward a machine-and system-level performance monitoring digital twin for production lines
Y Xu, Y Qamsane, S Puchala, A Januszczak… - Computers in …, 2024 - Elsevier
Efficient performance monitoring in production systems holds paramount importance as it
enables organizations to optimize their manufacturing processes, enhance productivity, and …
enables organizations to optimize their manufacturing processes, enhance productivity, and …
Switch-based iterative learning control for tracking iteration varying references
Abstract Iterative Learning Control (ILC) is a control strategy that improves the performance
of repetitive systems by enabling near-perfect reference tracking. Iteration-invariant …
of repetitive systems by enabling near-perfect reference tracking. Iteration-invariant …
Requirements for reconfiguration management for manufacturing systems
To remain competitive in a highly dynamic environment, manufacturing companies have to
quickly react to disturbances or changing customer requirements. To enable manufacturing …
quickly react to disturbances or changing customer requirements. To enable manufacturing …
Distributed decision-making in disrupted industrial environments using a multi-agent framework
M Bi - 2023 - deepblue.lib.umich.edu
The modern industrial environment is becoming more complex and dynamic due to
customized and shifting market demands, highly connected businesses, and frequently …
customized and shifting market demands, highly connected businesses, and frequently …
Robotics and manufacturing automation
A Rupenyan, EC Balta - The Impact of Automatic Control …, 2024 - Wiley Online Library
Manufacturing automation is vital to various industrial sectors: aeronatic, automotive,
biomedical, consumer goods, and others. Two main trends influence the development of …
biomedical, consumer goods, and others. Two main trends influence the development of …
Developing the workforce for next-generation smart manufacturing systems: a multidisciplinary research team approach
I Kovalenko, EC Balta… - Smart and …, 2021 - asmedigitalcollection.asme.org
As real-world systems become more complex and connected, the industrial sector requires
engineers who can solve problems across multiple disciplines and work with people across …
engineers who can solve problems across multiple disciplines and work with people across …