Special Issue "Control Systems, Mathematical Modeling and Automation"

A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".

Deadline for manuscript submissions: 28 February 2022.

Special Issue Editors

Prof. Dr. Pavel Saraev
E-Mail Website
Guest Editor
Department of Automation and Computer Science, Lipetsk State Technical University, Moskovskaya str. 30, RU-398055 Lipetsk, Russia
Interests: mathematical modeling; neural networks; soft computing; interval analysis
Prof. Dr. Svilen S. Valtchev
E-Mail Website
Guest Editor
1. Center for Computational and Stochastic Mathematics (CEMAT-IST), University of Lisbon, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal
2. ESTG, Polytechnic of Leiria, Campus 2, Morro do Lena - Alto do Vieiro, Po. Box 4163, 2411 - 901 Leiria, Portugal
Interests: applied and numerical analysis; numerical methods for differential equations; meshless (mesh-free) methods
Prof. Dr. Maria Cristina Recchioni
E-Mail Website
Guest Editor
Dipartimento di Scienze Sociali “D. Serrani”, Università Politecnica delle Marche, Piazza Martelli 8, 60121 Ancona, Italy
Interests: mathematical finance; option pricing; asset pricing; inverse problems for stochastic volatility models; high frequency volatility estimators; nonlinear and multi-objective programming

Special Issue Information

Dear Colleagues,

This Special Issue will publish a set of selected papers from the 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2021), which will be held 10–12 November 2021, in Lipetsk, Russia (due to the health crisis, the conference may be held in a hybrid format or virtually). You are invited to submit a contribution to the conference for consideration in this Special Issue.

The SUMMA2021 program includes topics of interest that consist of, but are not limited to:

  • Industrial Applied Mathematics and Modeling (Mathematical Foundations of Control Theory; Control of Organizational and Socioeconomic Systems; Machine Learning);
  • Automation (Industrial Automation and Control Theory Applied to Technological Processes; Digitalization in Industrial, Economic and Social Systems; Metals and Mining Industry; Transportation Systems);
  • Industrial and Commercial Power and Power Conversion Systems (Energy Systems and Power Systems Engineering; Electric Machines and Industrial Drives; Power Electronic Devices and Components).

For detailed information on all further aspects of the conference, including the dates, keynote speakers, committees, registration, and accommodation, please check the conference website at https://summa.stu.lipetsk.ru/.

Prof. Dr. Pavel Saraev
Prof. Dr. Maria Cristina Recchioni
Prof. Dr. Svilen S. Valtchev
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • control systems
  • mathematical modeling
  • automation
  • computational methods

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Article
Nonlinear Dynamics and Performance Analysis of a Buck Converter with Hysteresis Control
Computation 2021, 9(10), 112; https://0-doi-org.brum.beds.ac.uk/10.3390/computation9100112 - 19 Oct 2021
Viewed by 369
Abstract
This paper presents the mathematical modeling and experimental implementation of a Buck converter with hysteresis control. The system is described using a state-space model. Theoretical and simulation studies show that the zero hysteresis control leads to an equilibrium point with the implication of [...] Read more.
This paper presents the mathematical modeling and experimental implementation of a Buck converter with hysteresis control. The system is described using a state-space model. Theoretical and simulation studies show that the zero hysteresis control leads to an equilibrium point with the implication of an infinite commutation frequency, while the use of a constant hysteresis band induces a limit cycle with a finite switching frequency. There exists a tradeoff between voltage output ripple and transistor switching frequency. An experimental prototype for the Buck power converter is built, and theoretical results are verified experimentally. In general terms, the Buck converter with the hysteresis control shows a robust control with respect to load variations, with undesired high switching frequency taking place for a very narrow hysteresis band, which is solved by tuning the hysteresis band properly. Full article
(This article belongs to the Special Issue Control Systems, Mathematical Modeling and Automation)
Show Figures

Figure 1

Article
Performance of the Boost Converter Controlled with ZAD to Regulate DC Signals
Computation 2021, 9(9), 96; https://0-doi-org.brum.beds.ac.uk/10.3390/computation9090096 - 04 Sep 2021
Viewed by 457
Abstract
This paper presents the performance of a boost converter controlled with a zero average dynamics technique to regulate direct current signals. The boost converter is modeled in a compact form, and a variable change is performed to depend only on the γ parameter. [...] Read more.
This paper presents the performance of a boost converter controlled with a zero average dynamics technique to regulate direct current signals. The boost converter is modeled in a compact form, and a variable change is performed to depend only on the γ parameter. A new sliding surface is proposed, where it is possible to regulate both the voltage and the current with low relative errors with respect to the reference signals. It is analytically demonstrated that the approximation of the switching surface by a piecewise linear technique is efficient in controlling the system. It is shown numerically that for certain operating conditions, the system is evolved into a chaotic attractor. The zero average dynamics technique implemented in the boost converter has good regulation, due to the presence of zones in the bi-parametric space. Furthermore, the zero average dynamics technique regulates the voltage well and presents a chaotic attractor with low steady-state error. Full article
(This article belongs to the Special Issue Control Systems, Mathematical Modeling and Automation)
Show Figures

Figure 1

Back to TopTop