Advances in artificial intelligence methods applications in industrial control systems
The motivation for the present book 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 performance...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Basel :
MDPI
[2023]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009741136406719 |
Tabla de Contenidos:
- Contents
- About the Editor vii
- Preface to "Advances in Artificial Intelligence Methods Applications in Industrial Control
- Systems" ix
- Emanuele Carpanzano
- Editorial of the Special Issue "Advances in Artificial Intelligence Methods Applications in
- Industrial Control Systems"
- Reprinted from: Appl. Sci. 2023, 13, 16, doi:10.3390/app13010016 1
- Emanuele Carpanzano and Daniel Kn ¨uttel
- Advances in Artificial Intelligence Methods Applications in Industrial Control Systems:
- Towards Cognitive Self-Optimizing Manufacturing Systems
- Reprinted from: Appl. Sci. 2022, 12, 10962, doi:10.3390/app122110962 5
- Dengguo Xu, Qinglin Wang and Yuan Li
- Adaptive Optimal Robust Control for Uncertain Nonlinear Systems Using Neural Network
- Approximation inPolicy Iteration
- Reprinted from: Appl. Sci. 2021, 11, 2312, doi:10.3390/app11052312 25
- Niki Kousi, Christos Gkournelos, Sotiris Aivaliotis, Konstantinos Lotsaris, Angelos Christos
- Bavelos, Panagiotis Baris, George Michalos, et al.
- Digital Twin for Designing and Reconfiguring Human-Robot Collaborative Assembly Lines
- Reprinted from: Appl. Sci. 2021, 11, 4620, doi:10.3390/app11104620 47
- Richa´rd Beregi, Gianfranco Pedone, Borb´ala H´ay and Jozsef ´ V´ancza
- Manufacturing Execution System Integration through the Standardization of a Common Service
- Model for Cyber-Physical Production Systems
- Reprinted from: Appl. Sci. 2021, 11, 7581, doi:10.3390/app11167581 61
- Asad Ali Shahid, Jorge Said Vidal Sesin, Damjan Pecioski, Francesco Braghin, Dario Piga
- and Loris Roveda
- Decentralized Multi-Agent Control of a Manipulator in Continuous Task Learning
- Reprinted from: Appl. Sci. 2021, 11, 10227, doi:10.3390/app112110227 85
- Yuzhan Wu, Chenlong Li, Changshun Yuan, Meng Li and Hao Li
- Predictive Control for Small Unmanned Ground Vehicles via a Multi-Dimensional Taylor
- Network
- Reprinted from: Appl. Sci. 2022, 12, 682, doi:10.3390/app12020682 103
- Ybrain Hernandez-Lopez, Raul Rivas-Perez and Vicente Feliu-Batlle
- Design of a NARX-ANN-Based SP Controller for Control of an Irrigation Main Canal Pool
- Reprinted from: Appl. Sci. 2022, 12, 9180, doi:10.3390/app12189180 117.
