Digital Ecosystem Situational Control Based on a Predictive Model. Issue 1 (2021)

• Record Type: Journal Article
• Authors: Bakhtadze, N.; Elpashev, D.; Suleykin, A.; Pyatetsky, V.
• Is Part Of: IFAC-PapersOnLine. Volume 54:Issue 1(2021)
• Page Start: 300
• Page End: 306
• Publication Date: 2021
• Subjects: digital ecosystem -- intelligent predictive models -- data mining -- wavelet analysis -- knowledge base; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2021.08.035
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: An approach to the development of a digital ecosystem (DES) using predictive model and data fusion technics is presented with reference to industrial systems. Predictive models are based on data mining algorithms, wavelet analysis and the creation of knowledge bases. Digital identification models are presented, developed as digital twins for the state of DES. In turn, the control of DES is considered as situational control. The modern approach to the development of architecture for DES is proposed.