Model predictive control techniques for hybrid systems

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey

Long-term effect of dissolved oxygen on partial nitrification performance and microbial community structure.

Mathematics and Computers in Simulation

Background and Purpose: The aim of this paper is to present the influence of Industry 4.0 on the development of the new simulation modelling paradigm, embodied by the Digital Twin concept, and examine the adoption of the new paradigm via a multiple case study involving real-life R/D cases involving academia and industry. 
Design: We introduce the Industry 4.0 paradigm, presents its background, current state of development and its influence on the development of the simulation modelling paradigm. Further, we present the multiple case study methodology and examine several research and development projects involving automated industrial process modelling, presented in recent scientific publications and conclude with lessons learned. 
Results: We present the research problems and main results from five individual cases of adoption of the new simulation modelling paradigm. Main lesson learned is that while the new simulation modelling paradigm is being adopted by big companies and SMEs, there are significant differences depending on company size in problems that they face, and the methodologies and technologies they use to overcome the issues.
Conclusion: While the examined cases indicate the acceptance of the new simulation modelling paradigm in the industrial and scientific communities, its adoption in academic environment requires close cooperation with industry partners and diversification of knowledge of researchers in order to build integrated, multi-level models of cyber-physical systems. As shown by the presented cases, lack of tools is not a problem, as the current generation of general purpose simulation modelling tools offers adequate integration options.

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Industry 4.0 and the New Simulation Modelling Paradigm

Schedule Optimization based on Coloured Petri Nets and Local Search

In a lot of technical professions nowadays an advanced education in mathematical modelling and simulation has already become a prerequisite. Therefore universities are required to provide high quality lectures and teaching materials to guarantee the qualification of their graduates within this field of study. For engineering students surely the emphasis has to be laid on discrete-event modelling, as the understanding of eventoperation and scheduling provides the base for designing management and control strategies. Often the concept of event-graph modelling is used to teach the basis of discrete-event simulation in a graphical way. The paper shall give an idea on how methods of event-graph modelling can be taught to students using blended learning concepts. In this special case the e-learning platform MMT (Mathematics, Modelling and Tools) is used, a kind of virtual laboratory for modelling and simulation. The basic ideas of event-graph modelling, how event-graph based examples are prepared for the e-learning platform and the basic properties of the MMT-server are furthermore presented in this paper as well as some simple examples are shown in addition.

Support of Event-Graph Lectures by the MMT E-learning System

Petri Net Based Solution Supervision and Local Search for Job Shop Scheduling

Modelling and simulation are two promising methodologies in attempts to manage the ever increasing complexity of modern technical systems. The knowledge of the inherent continuous and discrete-event dynamics of systems improves the understanding of systems operation and provides the base for designing management and control strategies. Modelling and simulation are therefore vital components of engineering and other technology related curricula. Petri nets are suitable for modelling of discrete-event systems with highly parallel and cooperating activities. Teaching of Petri net basics can contribute to understanding of discrete-event dynamics through a well defined framework supported by formal analysis techniques. As such it is an important part of courses on modelling and simulation. The paper presents an approach to teach basics of Petri net dynamics and related analysis techniques by the help of an object oriented Mat lab m-script based Petri net tool, which was developed to implement Petri net examples within MMT-server e-learning environment. The tool structure is briefly described, a learning process proposal is presented, and an overview of basic examples on Petri net dynamics and analysis is provided.

Gašper Mušič

Papers

Schedule Optimization based on Coloured Petri Nets and Local Search

Support of Event-Graph Lectures by the MMT E-learning System

Petri Net Based Solution Supervision and Local Search for Job Shop Scheduling

Learning Petri Net Dynamics through a Matlab Web Interface

A low-cost PackML-based control solution for a modular production line