Invited sessions

Complex service modelling, composition, and engineering (code: f76rx)

Monica Drăgoicea, University Politehnica of Bucharest, monica.dragoicea(#at#)
Michel Léonard, University of Geneva, Michel.Leonard(#at#)
Adrian Paschke, Fraunhofer FOKUS, adrian.paschke(#at#)

Keywords: service systems engineering, complex systems, complex service, digital technologies, artificial intelligence

Service, the law of interaction among the large number of Society-level entities, grounded on data, supports the creation of value via information interactions fundamentally.  A complex service is built upon several services, and its systems, including its digital system, are composed upon their systems. Therefore, the information is an important source of innovation, and the Digital means enable to introduce new functionalities which were difficult or impossible to offer before. Technology, as an operant resource, leverage information sharing across service ecosystems at Society level, enabling data-driven value co-creation as a service strategy.

This session is inviting original submissions addressing the entire development cycle of complex services and their service systems, enacting new types of knowledge exchange that would advance Society in its complexity. Society is facing today critical situations for which its systems must be purposely reshaped. Complexity, a fundamental characteristic of the world we live in, must be understood against Society needs and new tools for analyzing and describing it are required today.

Authors are encouraged as well to present developed practices, mechanisms, methods, toward increasing the engagement in teaching, learning, research and institutional activities to support digital skills formation in industry fostering new services and jobs creation. In this perspective, it concerns important properties of Service Science, which induce situations where knowledge, skills, activities and jobs can emerge to surmount challenges in identifying the growing share of increasingly complex services that characterize the digital economy.

Advanced topics in chemical process control: resilience, optimization and decision-making systems (code: wq2y2)

Emil Pricop, Petroleum-Gas University of Ploiesti, emil.pricop(#at#)
Sanda Florentina Mihalache, Petroleum-Gas University of Ploiesti, sfrancu(#at#)
Nicolae Paraschiv, Petroleum-Gas University of Ploiesti, nparaschiv(#at#)
Jaouhar Fattahi, Laval University, jaouhar.fattahi.1(#at#)

Keywords: control systems design, industrial applications, fault diagnosis and fault tolerant control

This invited session aims at designing and analyzing high-performance resilient control systems for chemical processes. The topic is one of high importance nowadays since chemical processes are the core of a large number of critical infrastructures such as refineries, petrochemical and pharmaceutical plants or wastewater processing facilities. These infrastructures are supposed to function without error and any interruptions for significant periods of time. This goal can be achieved only if the supporting infrastructure is reliable and the control systems are more secure, reliable, maintainable and performant than the controlled infrastructure.

In other words, the next generation of control systems should be designed to keep their normal operation in response to any disturbances, being them operational errors, unexpected malfunctions or malicious threats.

The invited session focuses on, but is not limited to the following topics: resilience of control systems in critical infrastructures, resilient chemical process control, advanced chemical process control, control systems security, optimal control systems, decision-making systems, machine learning applications for resilient chemical process control.

Real time applications for process control and diagnosis (code: 5h8w1)

Dumitru Popescu, University Politehnica of Bucharest, dumitru.popescu(#at#)
Ciprian Lupu, University Politehnica of Bucharest, ciprian.lupu(#at#)

Keywords: control systems design, industrial applications, fault diagnosis and fault tolerant control

The session offers a framework for presentations of research that bring interesting and relevant contributions in the field of adaptive, predictive or robust control and system diagnosis.

The session provides opportunities for researchers and specialists to offer their recent developments in control and diagnosis, applied to different domains with technical and economical interest as, for example: Energy, Transport, Automotive, Petrochemistry, Aerospace, Biotechnology, Telecommunications, etc. We evaluate and discuss during this session about performance and security issues that arise in process exploitation and about fault detection and management in real-time applications, by means of automatic control resources and information support.

Appreciated papers should offer modern solutions related to the modeling, control and diagnosis of systems structures, supported by an adequate theoretical background, implemented and validated on industrial applications.