Special Issue "ICSTCC 2018: Advances in Control and Computers"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".

Deadline for manuscript submissions: closed (30 March 2019).

Special Issue Editors

Prof. Dr. Marian Barbu
E-Mail Website
Guest Editor
Department of Automation and Electrical Engineering, Dunarea de Jos University of Galati, Domneasca No. 47, 800008 Galati, Romania
Interests: wastewater control systems; control of integrated water systems; data-driven control; application to environmental systems; application to energy systems
Special Issues and Collections in MDPI journals
Dr. Răzvan Şolea
E-Mail Website
Guest Editor
Department of Automatic Control and Electrical Engineering, "Dunarea de Jos" University of Galati, 800008 Galati, Romania
Interests: nonlinear control systems; mobile robots; trajectory planning; image processing

Special Issue Information

Dear Colleagues,

This Special Issue will include selected papers from the 22nd International Conference on System Theory, Control and Computing (ICSTCC 2018) to be held in Sinaia, Romania, 10–12 October 2018.

The International Conference on System Theory, Control and Computing—ICSTCC 2018—aims at bringing together, in a unique forum, scientists from academia and industry to discuss the state-of-the-art and the new trends in system theory, control and computer engineering, and at promoting professional interactions and fellowships.

The papers considered for ICSTCC 2018 cover the general areas of automation and robotics, computer science and engineering, and electronics and instrumentation.

The authors of selected papers from ICSTCC 2018 will be invited to submit extended and enhanced versions of their papers to this Special Issue.

Prof. Dr. Marian Barbu
Dr. Răzvan Şolea
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. Information 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

  • Computer engineering
  • Control engineering
  • Robotics
  • Artificial Intelligence
  • Communication

Published Papers (9 papers)

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Research

Open AccessArticle
Comparative Performance Evaluation of an Accuracy-Enhancing Lyapunov Solver
Information 2019, 10(6), 215; https://doi.org/10.3390/info10060215 - 19 Jun 2019
Viewed by 1357
Abstract
Lyapunov equations are key mathematical objects in systems theory, analysis and design of control systems, and in many applications, including balanced realization algorithms, procedures for reduced order models, Newton methods for algebraic Riccati equations, or stabilization algorithms. A new iterative accuracy-enhancing solver for [...] Read more.
Lyapunov equations are key mathematical objects in systems theory, analysis and design of control systems, and in many applications, including balanced realization algorithms, procedures for reduced order models, Newton methods for algebraic Riccati equations, or stabilization algorithms. A new iterative accuracy-enhancing solver for both standard and generalized continuous- and discrete-time Lyapunov equations is proposed and investigated in this paper. The underlying algorithm and some technical details are summarized. At each iteration, the computed solution of a reduced Lyapunov equation serves as a correction term to refine the current solution of the initial equation. The best available algorithms for solving Lyapunov equations with dense matrices, employing the real Schur(-triangular) form of the coefficient matrices, are used. The reduction to Schur(-triangular) form has to be done only once, before starting the iterative process. The algorithm converges in very few iterations. The results obtained by solving series of numerically difficult examples derived from the SLICOT benchmark collections for Lyapunov equations are compared to the solutions returned by the MATLAB and SLICOT solvers. The new solver can be more accurate than these state-of-the-art solvers and requires little additional computational effort. Full article
(This article belongs to the Special Issue ICSTCC 2018: Advances in Control and Computers)
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Open AccessArticle
Optimal Control of Virus Spread under Different Conditions of Resources Limitations
Information 2019, 10(6), 214; https://doi.org/10.3390/info10060214 - 19 Jun 2019
Viewed by 1423
Abstract
The paper addresses the problem of human virus spread reduction when the resources for the control actions are somehow limited. This kind of problem can be successfully solved in the framework of the optimal control theory, where the best solution, which minimizes a [...] Read more.
The paper addresses the problem of human virus spread reduction when the resources for the control actions are somehow limited. This kind of problem can be successfully solved in the framework of the optimal control theory, where the best solution, which minimizes a cost function while satisfying input constraints, can be provided. The problem is formulated in this contest for the case of the HIV/AIDS virus, making use of a model that considers two classes of susceptible subjects, the wise people and the people with incautious behaviours, and three classes of infected, the ones still not aware of their status, the pre-AIDS patients and the AIDS ones; the control actions are represented by an information campaign, to reduce the category of subjects with unwise behaviour, a test campaign, to reduce the number of subjects not aware of having the virus, and the medication on patients with a positive diagnosis. The cost function considered aims at reducing patients with positive diagnosis using as less resources as possible. Four different types of resources bounds are considered, divided into two classes: limitations on the instantaneous control and fixed total budgets. The optimal solutions are numerically computed, and the results of simulations performed are illustrated and compared to put in evidence the different behaviours of the control actions. Full article
(This article belongs to the Special Issue ICSTCC 2018: Advances in Control and Computers)
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Open AccessFeature PaperArticle
Optimal Resource Allocation to Reduce an Epidemic Spread and Its Complication
Information 2019, 10(6), 213; https://doi.org/10.3390/info10060213 - 13 Jun 2019
Cited by 1 | Viewed by 1589
Abstract
Mathematical modeling represents a useful instrument to describe epidemic spread and to propose useful control actions, such as vaccination scheduling, quarantine, informative campaign, and therapy, especially in the realistic hypothesis of resources limitations. Moreover, the same representation could efficiently describe different epidemic scenarios, [...] Read more.
Mathematical modeling represents a useful instrument to describe epidemic spread and to propose useful control actions, such as vaccination scheduling, quarantine, informative campaign, and therapy, especially in the realistic hypothesis of resources limitations. Moreover, the same representation could efficiently describe different epidemic scenarios, involving, for example, computer viruses spreading in the network. In this paper, a new model describing an infectious disease and a possible complication is proposed; after deep-model analysis discussing the role of the reproduction number, an optimal control problem is formulated and solved to reduce the number of dead patients, minimizing the control effort. The results show the reasonability of the proposed model and the effectiveness of the control action, aiming at an efficient resource allocation; the model also describes the different reactions of a population with respect to an epidemic disease depending on the economic and social original conditions. The optimal control theory applied to the proposed new epidemic model provides a sensible reduction in the number of dead patients, also suggesting the suitable scheduling of the vaccination control. Future work will be devoted to the identification of the model parameters referring to specific epidemic disease and complications, also taking into account the geographic and social scenario. Full article
(This article belongs to the Special Issue ICSTCC 2018: Advances in Control and Computers)
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Open AccessFeature PaperArticle
Electronic Identification for Universities: Building Cross-Border Services Based on the eIDAS Infrastructure
Information 2019, 10(6), 210; https://doi.org/10.3390/info10060210 - 12 Jun 2019
Cited by 9 | Viewed by 1681
Abstract
The European Union (EU) Regulation 910/2014 on electronic IDentification, Authentication, and trust Services (eIDAS) for electronic transactions in the internal market went into effect on 29 September 2018, meaning that EU Member States are required to recognize the electronic identities issued in the [...] Read more.
The European Union (EU) Regulation 910/2014 on electronic IDentification, Authentication, and trust Services (eIDAS) for electronic transactions in the internal market went into effect on 29 September 2018, meaning that EU Member States are required to recognize the electronic identities issued in the countries that have notified their eID schemes. Technically speaking, a unified interoperability platform—named eIDAS infrastructure—has been set up to connect the EU countries’ national eID schemes to allow a person to authenticate in their home EU country when getting access to services provided by an eIDAS-enabled Service Provider (SP) in another EU country. The eIDAS infrastructure allows the transfer of authentication requests and responses back and forth between its nodes, transporting basic attributes about a person, e.g., name, surname, date of birth, and a so-called eIDAS identifier. However, to build new eIDAS-enabled services in specific domains, additional attributes are needed. We describe our approach to retrieve and transport new attributes through the eIDAS infrastructure, and we detail their exploitation in a selected set of academic services. First, we describe the definition and the support for the additional attributes in the eIDAS nodes. We then present a solution for their retrieval from our university. Finally, we detail the design, implementation, and installation of two eIDAS-enabled academic services at our university: the eRegistration in the Erasmus student exchange program and the Login facility with national eIDs on the university portal. Full article
(This article belongs to the Special Issue ICSTCC 2018: Advances in Control and Computers)
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Open AccessArticle
Optimization and Security in Information Retrieval, Extraction, Processing, and Presentation on a Cloud Platform
Information 2019, 10(6), 200; https://doi.org/10.3390/info10060200 - 05 Jun 2019
Cited by 1 | Viewed by 1707
Abstract
This paper presents the processing steps needed in order to have a fully functional vertical search engine. Four actions are identified (i.e., retrieval, extraction, presentation, and delivery) and are required to crawl websites, get the product information from the retrieved webpages, process that [...] Read more.
This paper presents the processing steps needed in order to have a fully functional vertical search engine. Four actions are identified (i.e., retrieval, extraction, presentation, and delivery) and are required to crawl websites, get the product information from the retrieved webpages, process that data, and offer the end-user the possibility of looking for various products. The whole application flow is focused on low resource usage, and especially on the delivery action, which consists of a web application that uses cloud resources and is optimized for cost efficiency. Novel methods for representing the crawl and extraction template, for product index optimizations, and for deploying and storing data in the cloud database are identified and explained. In addition, key aspects are discussed regarding ethics and security in the proposed solution. A practical use-case scenario is also presented, where products are extracted from seven online board and card game retailers. Finally, the potential of the proposed solution is discussed in terms of researching new methods for improving various aspects of the proposed solution in order to increase cost efficiency and scalability. Full article
(This article belongs to the Special Issue ICSTCC 2018: Advances in Control and Computers)
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Open AccessArticle
Evaluation of Sequence-Learning Models for Large-Commercial-Building Load Forecasting
Information 2019, 10(6), 189; https://doi.org/10.3390/info10060189 - 01 Jun 2019
Cited by 2 | Viewed by 1827
Abstract
Buildings play a critical role in the stability and resilience of modern smart grids, leading to a refocusing of large-scale energy-management strategies from the supply side to the consumer side. When buildings integrate local renewable-energy generation in the form of renewable-energy resources, they [...] Read more.
Buildings play a critical role in the stability and resilience of modern smart grids, leading to a refocusing of large-scale energy-management strategies from the supply side to the consumer side. When buildings integrate local renewable-energy generation in the form of renewable-energy resources, they become prosumers, and this adds more complexity to the operation of interconnected complex energy systems. A class of methods of modelling the energy-consumption patterns of the building have recently emerged as black-box input–output approaches with the ability to capture underlying consumption trends. These make use and require large quantities of quality data produced by nondeterministic processes underlying energy consumption. We present an application of a class of neural networks, namely, deep-learning techniques for time-series sequence modelling, with the goal of accurate and reliable building energy-load forecasting. Recurrent Neural Network implementation uses Long Short-Term Memory layers in increasing density of nodes to quantify prediction accuracy. The case study is illustrated on four university buildings from temperate climates over one year of operation using a reference benchmarking dataset that allows replicable results. The obtained results are discussed in terms of accuracy metrics and computational and network architecture aspects, and are considered suitable for further use in future in situ energy management at the building and neighborhood levels. Full article
(This article belongs to the Special Issue ICSTCC 2018: Advances in Control and Computers)
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Open AccessArticle
Gain Adaptation in Sliding Mode Control Using Model Predictive Control and Disturbance Compensation with Application to Actuators
Information 2019, 10(5), 182; https://doi.org/10.3390/info10050182 - 25 May 2019
Cited by 1 | Viewed by 1705
Abstract
In this contribution, a gain adaptation for sliding mode control (SMC) is proposed that uses both linear model predictive control (LMPC) and an estimator-based disturbance compensation. Its application is demonstrated with an electromagnetic actuator. The SMC is based on a second-order model of [...] Read more.
In this contribution, a gain adaptation for sliding mode control (SMC) is proposed that uses both linear model predictive control (LMPC) and an estimator-based disturbance compensation. Its application is demonstrated with an electromagnetic actuator. The SMC is based on a second-order model of the electric actuator, a direct current (DC) drive, where the current dynamics and the dynamics of the motor angular velocity are addressed. The error dynamics of the SMC are stabilized by a moving horizon MPC and a Kalman filter (KF) that estimates a lumped disturbance variable. In the application under consideration, this lumped disturbance variable accounts for nonlinear friction as well as model uncertainty. Simulation results point out the benefits regarding a reduction of chattering and a high control accuracy. Full article
(This article belongs to the Special Issue ICSTCC 2018: Advances in Control and Computers)
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Open AccessArticle
A High Throughput Hardware Architecture for Parallel Recursive Systematic Convolutional Encoders
Information 2019, 10(4), 151; https://doi.org/10.3390/info10040151 - 24 Apr 2019
Viewed by 1656
Abstract
During the last years, recursive systematic convolutional (RSC) encoders have found application in modern telecommunication systems to reduce the bit error rate (BER). In view of the necessity of increasing the throughput of such applications, several approaches using hardware implementations of RSC encoders [...] Read more.
During the last years, recursive systematic convolutional (RSC) encoders have found application in modern telecommunication systems to reduce the bit error rate (BER). In view of the necessity of increasing the throughput of such applications, several approaches using hardware implementations of RSC encoders were explored. In this paper, we propose a hardware intellectual property (IP) for high throughput RSC encoders. The IP core exploits a methodology based on the ABCD matrices model which permits to increase the number of inputs bits processed in parallel. Through an analysis of the proposed network topology and by exploiting data relative to the implementation on Zynq 7000 xc7z010clg400-1 field programmable gate array (FPGA), an estimation of the dependency of the input data rate and of the source occupation on the parallelism degree is performed. Such analysis, together with the BER curves, provides a description of the principal merit parameters of a RSC encoder. Full article
(This article belongs to the Special Issue ICSTCC 2018: Advances in Control and Computers)
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Open AccessArticle
Youla–Kučera Parametrization with no Coprime Factorization—Single-Input Single-Output Case
Information 2019, 10(4), 120; https://doi.org/10.3390/info10040120 - 31 Mar 2019
Cited by 2 | Viewed by 1308
Abstract
We present a generalization of the Youla—Kučera parametrization to obtain all stabilizing controllers for single-input and single-output plants. This uses three parameters and can be applied to plants that may not admit coprime factorizations. In this generalization, at most two rational expressions of [...] Read more.
We present a generalization of the Youla—Kučera parametrization to obtain all stabilizing controllers for single-input and single-output plants. This uses three parameters and can be applied to plants that may not admit coprime factorizations. In this generalization, at most two rational expressions of plants are required, while the Youla–Kučera parametrization requires precisely one rational expression. Full article
(This article belongs to the Special Issue ICSTCC 2018: Advances in Control and Computers)
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