Smart Sensing Control Scheme for Manufacturing and Automation Application
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 19756
Special Issue Editor
Interests: nonlinear dynamic analysis; smart machine; chaos; optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Smart Technologies in the research field of innovation in advanced system design, sensing control, modeling, and optimization have made great progress in recent years, and intelligent manufacturing and automation systems have now become a popular term in the field of electrical/mechanic engineering and development of Industry 4.0. Many researchers in smart system design, metrology, and optimization have made great efforts to develop innovative methodologies for engineering, physical, biological, etc., and these research results have had a great influence in the greater field of system simulation and control.
With the advancement of computer hardware providing more powerful computing environments, intelligent automation system modeling, numerical simulation, and optimization, researchers have been able to challenge solving larger and more complex problems. Driven by such motivation, the innovative methodologies of smart system design, control, metrology, and optimization technologies are proposed not only in the area of engineering but also in new paradigms in computer science. In addition, advanced system modeling, numerical simulation, and optimization researchers have applied the developed innovative methods to various real world problems such as intelligent robotic sensing systems. This Special Issue includes the mathematical and physical theories of nonlinear dynamics analysis and optimization in physical, engineering, biological studies, and their various applications. Prospective authors are invited to submit original papers to this Special issue.
Prof. Dr. Cheng-Chi Wang
Guest Editor
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Keywords
- Smart technologies
- Sensing control
- Intelligent manufacturing
- Intelligent automation
- System modeling, numerical simulation, and optimization
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