PARTNERS

Hosting Insitution

Technical co-sponsors

Under the Auspices of

Media Partners

ABOUT THE CONFERENCE

Scientific program includes topics of interest that consist of, but are not limited to:

I. Industrial Applied Mathematics and Modeling

Mathematical Foundations of Control Theory; Control of Organizational and Socio-Economic Systems; Machine Learning

II. Automation

Industrial Automation and Control Theory applying to Technological Processes; Digitalization in Industrial, Economic and Social Systems; Metals and Mining Industry; Transportation Systems

III. Industrial and Commercial Power and Power Conversion Systems

Energy Systems and Power Systems Engineering: Electric Machines and Industrial Drives; Power Electronic Devices and Components

Contacts

Lipetsk State Technical University, 398055 Russia Lipetsk, Moskovskaya str., 30
Email: summa@stu.lipetsk.ru

Keynote Speakers

Stanimir VALTCHEV, Prof.

Portugal, Universidade Nova de Lisboa

Electrical Engineering, Industrial Production and the Future of IEEE

We continue to live with the current pandemic situation, with all the uncertainty of our future. The industry depends on our working force and financing… Is the financing done in the same manner as before the 1970s? No, this is the problem! Our society changed the rules of functioning. The only way out is to make the industry to go on and as fast as possible! The production will save the world! What we need for an extensive and economically profitable production? The capitalism goes wrong direction says Noam Chomsky from MIT and he points the aim: we need a productive capitalism, and productive engineers. The universities must be closer to the real world, not to be monasteries. For that we need an international-wide organization and fortunately, we have it : the IEEE, which we need to use.

More >>

Maria Cristina RECCHIONI, Prof.

Italy, Università Politecnica delle Marche

A New Dynamic Clustering Approach to Tail-analysis: Application to Portfolio Optimization and Network Centrality

We illustrate an iterative clustering procedure to generate non-overlapping groups of a one-dimensional variable, i.e. asset gross return. The procedure works under the assumption that the gross return distribution is generated by a log-normal mixture of homogeneous groups of returns and we focus on the left distribution of the return. The number of groups is not determined a priori but rather endogenously by the iterative procedure, stops when the solution to a specific second-degree polynomial equation does not exist. We use this approach to study a measure for portfolio risk management by extending the Markowitz mean-variance framework to include the left-hand tail effects of asset returns. Two risk dimensions are captured: asset covariance risk along risk in left-hand tail similarity and volatility. This is done thanks to the informative set on the left-hand tail distributions of asset returns obtained from the adaptive clustering procedure.

More >>

Alexander KOLESNIKOV, D.Sc., Prof.

Russia, Immanuel Kant Baltic Federal University

Research Prototype of the Cognitive Decision Support System for Information Preparation of Decisions of the Complex Task of Monitoring Situations and the State of a Control Object in Systems with a High Spatio-temporal Dynamics

Analysis of the trends of the XXI century in the intelligent power engineering convincingly shows that mathematical models should cooperate with the heuristic knowledge and accumulated experience of the human operator in hybrid and synergetic systems complementing the operator’s natural cognitive abilities in working with operational-technological information. A new class of artificial intelligence systems, cognitive functional hybrid intelligent decision support and control systems, is being announced. Architectural solutions of a cognitive hybrid intelligent system solving the problem of analysis and evaluation of possible emergency situations in electricity grids and its laboratory testing on the materials of a fragment of the district of electrical networks of the regional electric power system are considered.

More >>

Marek JASINSKI, Prof.

Poland, Warsaw University of Technology

Energy and Information Processing in More Reliable Power Electronics

Automation and robotics are at the initial stage of its heyday. Such advanced technology is also beginning to enter other basic areas of life, such as agriculture, education, medicine, including rehabilitation. Modern technologies such as the IoT, the Internet of Energy, Industry 4.0, Smart Grids including AC and DC microgrids or artificial intelligence, etc. are dynamically developing. However, a technological gap can be noticed here, especially in the third world or underdeveloped countries where electrical infrastructure is weak or does not exist at all. Such a device should be adapted to many tasks, from basic ones, i.e. obtaining and storing energy from renewable sources, and transforming it into a useful form through compatibility with the concept of the Internet to artificial intelligence and human-machine system. The development of a series of personal Intelligent Power Electronic Converters with a drive and energy storage will make it possible to use it in many places and areas of life.

More >>

Alexander KHOPERSKOV, D.Sc., Prof.

Russia, Volgograd State University

Modeling the Dynamics of Shallow Water for Control Problems of Floodplain Areas

The basis for the numerical modeling of the self-consistent dynamics of surface waters and sediment transport is the original Lagrangian-Eulerian CSPH-TVD method for solving the Saint-Venant and Exner equations, taking into account the physical factors essential for the understanding of the shallow water and surface soil layer motions, including complex terrain structure and its evolution due to sediment transport. Numerical simulations of the dynamics of surface waters are the basis for the model of the integrated hydrological, environmental and socio-economic structure of the floodplain area, which is the subject of strategic control. The goal of such control is to implement a territorial structure that maximizes the value of the aggregated criterion for a stable state of the system.

More >>

Anton GLUSHCHENKO, D.Sc., Prof.

Russia, V.A. Trapeznikov Institute of Control Sciences RAS, Stary Oskol Technological Institute n.a. A.A. Ugarov (branch) of National Research Technological University "MISIS"

Neural Networks to Control Nonlinear Underactuated Plants with Uncertainties

Nowadays neural networks are widely used to solve such problems as object detection, image segmentation, speech recognition, sentiment analysis etc. Considering these tasks, a lot of new layer types and network structures have been proposed recently. And they improved the recognition quality dramatically. The situation is not the same with the application of the neural networks to the control problems. So one of the aims of this report is to show some reasons for that. Using the model reference adaptive control framework, the following questions will be considered: 1) what kind of uncertainties could be effectively compensated by the neural networks and when they should be used instead of linear-regression-based compensators; 2) what types of neural networks are used to solve the above-stated tasks and what unique properties they provide; 3) how to train them (offline or online) and how to provide the control system stability; ...

More >>

IMPORTANT DATES

SUBMISSION OF PAPERS

The working language of the conference is English. Selected and extended version of the papers presented at the conference will be considered for publication in Computation journal.

Please make sure that only original unpublished contributions are being submitted.

Prospective participants are requested to submit full papers of their work (limitation is 6 pages). It is strongly recommended to use the set of IEEE official proceedings templates. We ask you not to modify the style or the format.

Note that each participant has to be author or co-author no more than three papers.
Please use EasyChair system for electronical submission of your contributions.

Each paper will be blindly reviewed by three reviewers.
Accepted papers will be submitted to IEEE Xplore.

CONFERENCE FEE

The fee includes publication of one paper, access to all sessions, printed programme book and coffee breaks. Registration fee does not include visa support, travel expenses, accommodation and meals. Accommodation and all additional services are to be paid by participants.

Conference fee in euro

For non-IEEE members 90 EUR
For IEEE members 70 EUR
For IEEE IES and IAS members 60 EUR

Conference fee in rubles (only for participants from Russia)

For non-IEEE members 7500 RUB
For IEEE members 6000 RUB
For IEEE IES and IAS members 5300 RUB