Automation | Highly Cited Papers in 2022

It is our great honor to present some highly cited papers published by Automation (ISSN: 2673-4052) in 2022. We would like to acknowledge these outstanding individuals and teams, whose work inspires fellow researchers and profoundly influences the field of automation. We welcome you to read the works listed below:

1. “Towards the Development of a Digital Twin for a Sustainable Mass Customization 4.0 Environment: A Literature Review of Relevant Concepts”
by César Martínez-Olvera
Automation 2022, 3(1), 197–222; https://doi.org/10.3390/automation3010010
Full text available online: https://www.mdpi.com/2673-4052/3/1/10

2. “Reinforcement Learning for Collaborative Robots Pick-and-Place Applications: A Case Study”
by Natanael Magno Gomes, Felipe Nascimento Martins, José Lima and Heinrich Wörtche
Automation 2022, 3(1), 223–241; https://doi.org/10.3390/automation3010011
Full text available online: https://www.mdpi.com/2673-4052/3/1/11

3. “Symbiotic Evolution of Digital Twin Systems and Dataspaces”
by Thomas Usländer, Michael Baumann, Stefan Boschert, Roland Rosen, Olaf Sauer, Ljiljana Stojanovic and Jan Christoph Wehrstedt
Automation 2022, 3(3), 378–399; https://doi.org/10.3390/automation3030020
Full text available online: https://www.mdpi.com/2673-4052/3/3/20

4. “A Tutorial and Review on Flight Control Co-Simulation Using Matlab/Simulink and Flight Simulators”
by Nadjim Horri and Mikolaj Pietraszko
Automation 2022, 3(3), 486–510; https://doi.org/10.3390/automation3030025
Full text available online: https://www.mdpi.com/2673-4052/3/3/25

5. “A Multipurpose Wearable Sensor-Based System for Weight Training”
by Parinaz Balkhi and Mehrdad Moallem
Automation 2022, 3(1), 132–152; https://doi.org/10.3390/automation3010007
Full text available online: https://www.mdpi.com/2673-4052/3/1/7

6. “Optimal Control Systems Using Evolutionary Algorithm-Control Input Range Estimation”
by Viorel Mînzu and Iulian Arama
Automation 2022, 3(1), 95–115; https://doi.org/10.3390/automation3010005
Full text available online: https://www.mdpi.com/2673-4052/3/1/5

7. “Modeling and Control of Satellite Formations: A Survey”
by Boris Andrievsky, Alexander M. Popov, Ilya Kostin and Julia Fadeeva
Automation 2022, 3(3), 511–544; https://doi.org/10.3390/automation3030026
Full text available online: https://www.mdpi.com/2673-4052/3/3/26

8. “Speed Control Based on State Vector Applied for Electrical Drive with Elastic Connection”
by Mateusz Malarczyk, Mateusz Zychlewicz, Radoslaw Stanislawski and Marcin Kaminski
Automation 2022, 3(3), 337–363; https://doi.org/10.3390/automation3030018
Full text available online: https://www.mdpi.com/2673-4052/3/3/18

9. “Digital Twin of a Flexible Manufacturing System for Solutions Preparation”
by Tiago Coito, Paulo Faria, Miguel S. E. Martins, Bernardo Firme, Susana M. Vieira, João Figueiredo and João M. C. Sousa
Automation 2022, 3(1), 153–175; https://doi.org/10.3390/automation3010008
Full text available online: https://www.mdpi.com/2673-4052/3/1/8

10. “Modeling Interaction in Human–Machine Systems: A Trust and Trustworthiness Approach”
by Alessandro Sapienza, Filippo Cantucci and Rino Falcone
Automation 2022, 3(2), 242–257; https://doi.org/10.3390/automation3020012
Full text available online: https://www.mdpi.com/2673-4052/3/2/12