scispace - formally typeset
Search or ask a question
Author

Gašper Mušič

Bio: Gašper Mušič is an academic researcher from University of Ljubljana. The author has contributed to research in topics: Petri net & Model predictive control. The author has an hindex of 14, co-authored 68 publications receiving 591 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: A comparison between MPC employing a hybrid linear model and a hybrid fuzzy model was made and it was established that the latter approach clearly outperforms the approach where a linear model is used.

52 citations

Journal ArticleDOI
TL;DR: It is shown that the established simulation techniques do not perform adequately in some application relevant examples since in general, only a subset of a timed state space of a simulated system is represented.

51 citations

Journal ArticleDOI
TL;DR: The design of an algorithm used in control of a sequencing batch reactor (SBR) for wastewater treatment for on-line optimization of the batch phases duration which should be applied due to the variable input wastewater improves the treatment quality and reduces energy consumption.
Abstract: The paper presents the design of an algorithm used in control of a sequencing batch reactor (SBR) for wastewater treatment. The algorithm is used for the on-line optimization of the batch phases duration which should be applied due to the variable input wastewater. Compared to an operation with fixed times of batch phases, this kind of a control strategy improves the treatment quality and reduces energy consumption. The designed control algorithm is based on following the course of some simple indirect process variables (i.e. redox potential, dissolved oxygen concentration and pH), and automatic recognition of the characteristic patterns in their time profile. The algorithm acts on filtered on-line signals and is based on heuristic rules. The control strategy was developed and tested on a laboratory pilot plant. To facilitate the experimentation, the pilot plant was superimposed by a computer-supported experimental environment that enabled: (i) easy access to all data (on-line signals, laboratory measurements, batch parameters) needed for the design of the algorithm, (ii) the immediate application of the algorithm designed off-line in the Matlab™ package also in real-time control. When testing on the pilot plant, the control strategy demonstrated good agreement between the proposed completion times and actual terminations of the desired biodegradation processes.

42 citations

Journal ArticleDOI
TL;DR: This paper addresses the problem of optimally selecting the production plan for a Multiproduct Batch Plant using the high level modelling language, HYbrid System DEscription Language (HYSDEL), and takes into account a model of a hybrid system described as an MLD system.

32 citations

Journal ArticleDOI
TL;DR: This paper describes how to apply timed Petri nets and existing production data to the modelling of production systems and describes a method for using these data to construct a Petri-net model algorithmically.
Abstract: During the development of a production control system, an appropriate model of the production process is needed to evaluate the various control strategies. This paper describes how to apply timed Petri nets and existing production data to the modelling of production systems. Information concerning the structure of a production facility and the products that can be produced is usually given in production-data management systems. We describe a method for using these data to construct a Petri-net model algorithmically. The timed Petri-net simulator, which was constructed in Matlab, is also described. This simulator makes it possible to introduce heuristics, and, in this way, various production scenarios can be evaluated. To demonstrate the applicability of our approach, we applied it to a scheduling problem in the production of furniture fittings.

30 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: The main issues encountered when applying model predictive control to hybrid processes are described and some of the techniques proposed by the research community to overcome the main problems encountered are described.

237 citations

Journal ArticleDOI
TL;DR: This survey focuses on evolving fuzzy rule-based models and neuro-fuzzy networks for clustering, classification and regression and system identification in online, real-time environments where learning and model development should be performed incrementally.

231 citations

Journal ArticleDOI
TL;DR: Comparing the performance of partial nitrification via nitrite and microbial community structure were investigated and compared in two sequencing batch reactors with different dissolved oxygen (DO) levels indicated that selecting properly DO level and adopting process control method is not only of benefit to the achievement of novel biological nitrogen removal technology, but also favorable to sludge population optimization.

210 citations

Journal ArticleDOI
TL;DR: 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.
Abstract: 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.

194 citations