Advances in Artificial Intelligence Methods Applications in Industrial Control Systems

• Muut tekijät: Carpanzano, Emanuele (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Aiheet: Technology: general issues; History of engineering & technology; policy iteration; uncertain nonlinear system; robust control; adaptive optimal control; digital twin; human robot collaboration; reconfiguration; interoperability; industry 4.0; manufacturing execution system; cyber-physical production system; OPC UA; reinforcement learning; decentralized control; multi-agent; continuous control; robotic grasping; policy optimization; multi-dimensional Taylor network; predictive control; nonlinear system; SUGV; predictive model; NARX-ANN-based models; modified SP controller design; irrigation main canal pool automation; system identification; management of water resources; control systems; industrial automation; artificial intelligence; machine learning; self-learning machine tools; adaptive production systems; n/a
• Linkit: DOAB: download the publication; DOAB: description of the publication

The motivation for the present reprint is to provide an overview of novel applications of AI methods to industrial control systems by means of selected best practices in highlighting how such methodologies can be used to improve the production systems self-learning capacities, their overall performa...