Intelligent Control Interfaces Using Extenics Multidimensional Theory Applied on VIPRO Platforms for Developing the IT INDUSTRY 4.0 Concept

Abstract

The paper presents new concepts and approaches to achieving intelligent control interfaces for solving contradictory problems using Extenics multidimensional theory applied on VIPRO Versatile Intelligent Portable Platforms. VIPRO platform enables developing the IT Industry 4.0 concept through the design, testing and experimentation of new intelligent control interfaces on a classical mechatronic control system without the need to modify its hardware structure, and, from optimal decisions and information fusion between the intelligent control interfaces, resulting in a high degree of versatility and portability to a global communications network. The Cyber-Physical Systems as like a VIPRO Platform’s component, developed through advanced intelligent control interfaces integrate the dynamics of the physical processes with those of the software and networking, providing a powerful environment for modeling, design, and analysis techniques for an integrated whole IT Industry. The portability characteristics results allow test and improve the motion performance of the mechatronic system, and furthermore implement the intelligent control and decision interfaces on their own control system, applying Industry 4.0 components: cognitive computing including intelligence and signal processing, cyber-physical systems, internet of things and cloud computing, exemplified on an Extenics multidimensional control intelligent interfaces.

Citation

Vladareanu, L., Vladareanu, V., Yu, H., Mitroi, D., & Ciocîrlan, A. (2019). Intelligent Control Interfaces Using Extenics Multidimensional Theory Applied on VIPRO Platforms for Developing the IT INDUSTRY 4.0 Concept. IFAC-PapersOnLine, 52(13), 922-927. https://doi.org/10.1016/j.ifacol.2019.11.312

• Journal Article Type: Article
• Acceptance Date: Nov 29, 2019
• Online Publication Date: Dec 25, 2019
• Publication Date: 2019
• Deposit Date: Jun 22, 2022
• Journal: IFAC-PapersOnLine
• Print ISSN: 2405-8963
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 52
• Issue: 13
• Pages: 922-927
• DOI: https://doi.org/10.1016/j.ifacol.2019.11.312
• Keywords: optimization, control, decision support system, Industry 4.0, robotics, intelligent control interfaces, real time control systems, contradictory problems
• Public URL: http://researchrepository.napier.ac.uk/Output/2881186