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Special Issue on “TP model transformation based control design theories and applications”

Yeung Yam Peter Baranyi

Publication Name: Asian Journal of Control

Publication Date: 2021-05-01

Volume: 23

Issue: 3

Page Range: 1237

Description:

No description provided

Open Access: Yes

DOI: 10.1002/asjc.2631

On modeling and identification of empirical partially intelligible white noise processes

András Rövid Peter Varlaki László Palkovics

Publication Name: Asian Journal of Control

Publication Date: 2021-05-01

Volume: 23

Issue: 3

Page Range: 1262-1279

Description:

The paper discusses the identification of the empirical, partially intelligible white noise processes generated by deterministic numerical algorithms. The introduced fuzzy-random complementary approach can identify the inner hidden correlational patterns of the empirical white noise process if the process has a real hidden structure of this kind. We have shown how the characteristics of autocorrelated white noise processes change as the order of autocorrelation increases. Based on this approach, the original empirical white noise process transformed by the autocorrelation operator can be considered to be random data series (randomlikeness), and at the same time, it has function-like characteristics (functionlikeness), as well. We approach the analysis of the mentioned complementarity by modeling the autocorrelation functions of the empirical white noise processes using tensor product (TP) model transformation.

Open Access: Yes

DOI: 10.1002/asjc.2470

Exploring parental perspectives of childhood speech and language disorders across 10 countries: A pilot qualitative study

Isabel R. Rodriguez-Ortiz Sam Harding Rena Lyons Maja Kelić Kristine M. Jensen de López Inge S. Klatte Marina O. Tomazin Julie Feilberg Sofia Baena Tina C. Mantel Thora S. Ulfsdottir Rama Novogrodsky Krisztina Zajdó

Publication Name: Journal of Speech Language and Hearing Research

Publication Date: 2021-05-01

Volume: 64

Issue: 5

Page Range: 1739-1747

Description:

Purpose: Although researchers have explored parental perspectives of childhood speech and language disorders, most studies have been conducted in English-speaking countries. Little is known about parental experiences across countries, where procedures of language screening and services for language disorders differ. The authors participated in the COST1 Action network IS1406, “Enhancing Children’s Oral Language Skills Across Europe and Beyond,” which provided an opportunity to conduct cross-country qualitative interviews with parents. The aim of this pilot study was to explore ways in which parents construed and described speech and language disorders across countries. Method: Semistructured qualitative interviews were conducted with parents from 10 families in 10 different countries. The data were analyzed using thematic analysis. Findings: The overall theme was “acknowledging parental expertise.” The parents described, in detail, ways in which their children’s speech and language (dis)abilities had an impact on the children’s everyday life. Three subthemes were identified: impairment, disability, and changes over time. Conclusions: The findings suggest that, across a range of countries, parents demonstrated contextualized understandings of their children’s speech and language (dis)abilities, along with the everyday functional implications of the disorders. Hence, despite not holding professional knowledge about language disorders, the voices, views, understandings, and personal experiences of parents in relation to their child’s disorder should be listened to when planning therapy services.

Open Access: Yes

DOI: 10.1044/2020_JSLHR-20-00415

Tensor product transformation-based modeling of an induction machine

Miklós Kuczmann Zoltan Nemeth

Publication Name: Asian Journal of Control

Publication Date: 2021-05-01

Volume: 23

Issue: 3

Page Range: 1280-1289

Description:

The paper demonstrates a tensor product (TP) model transformation-based framework for an induction machine (IM). The state space model of an IM is highly nonlinear, thus the Takagi–Sugeno (TS) fuzzy model-based quasi-linear parameter-varying (qLPV) representation can be a good alternative approach of machines modeling. The paper presents the basics of IM state space modeling, how the TP transformation can be applied in details. The control of IM is always a pivotal point; hence, options of feedback control are discussed. The main goal of this paper is to present the whole process of IM TP transformation-based modeling including a control system.

Open Access: Yes

DOI: 10.1002/asjc.2468

Study of tensor product model alternatives

Miklós Kuczmann

Publication Name: Asian Journal of Control

Publication Date: 2021-05-01

Volume: 23

Issue: 3

Page Range: 1249-1261

Description:

A tensor product (TP) model has an infinite number of alternatives. These variants can be readily derived by the TP model transformation that can variate the number of fuzzy rules, the number of antecedent and consequent sets and, further, the shape of the antecedent fuzzy sets. The related literature has quite deep analysis that modifying these features of a TP model has a crucial role in further design. The latest variants of the TP model transformation, emerged about a year ago, are capable of variating the input space of a TP model. The goal of this paper is to analyse this recently emerged new feature through the example of the gantry crane state space model.

Open Access: Yes

DOI: 10.1002/asjc.2446

Dynamics of fuzzy-rough cognitive networks

István A. Harmati

Publication Name: Symmetry

Publication Date: 2021-05-01

Volume: 13

Issue: 5

Page Range: Unknown

Description:

Fuzzy-rough cognitive networks (FRCNs) are interpretable recurrent neural networks, primarily designed for solving classification problems. Their structure is simple and transparent, while the performance is comparable to the well-known black-box classifiers. Although there are many applications on fuzzy cognitive maps and recently for FRCNS, only a very limited number of studies discuss the theoretical issues of these models. In this paper, we examine the behaviour of FRCNs viewing them as discrete dynamical systems. It will be shown that their mathematical properties highly depend on the size of the network, i.e., there are structural differences between the long-term behaviour of FRCN models of different size, which may influence the performance of these modelling tools.

Open Access: Yes

DOI: 10.3390/sym13050881

Transformer model identification by artap: A benchmark problem

Miklós Kuczmann Gergely Kovács Attila Szöcs

Publication Name: Periodica Polytechnica Electrical Engineering and Computer Science

Publication Date: 2021-04-27

Volume: 65

Issue: 2

Page Range: 123-130

Description:

The paper presents how Artap can be used for determining the equivalent circuit parameters of a one phase transformer as a benchmark problem. The following unknown parameters of the equivalent circuit are identified: primary resistance and primary leakage reactance, secondary resistance and secondary leakage reactance, finally magnetizing resistance, and magnetizing reactance. The known quantities from measurement are the primary voltage, primary current, power factor, secondary voltage, and the load resistance. Algorithms implemented in Artap are used for determining the transformer parameters and the results are compared with the analytical solution.

Open Access: Yes

DOI: 10.3311/PPee.17606

FEM-based benchmark problem for cogging torque minimization of axial flux permanent-magnet motors in Artap framework

Tamas Orosz Attila Nyitrai

Publication Name: Periodica Polytechnica Electrical Engineering and Computer Science

Publication Date: 2021-04-27

Volume: 65

Issue: 2

Page Range: 152-159

Description:

Optimization of axial flux permanent-magnet motors is a very important topic in the literature and requires high performance optimization algorithms and finite element analysis. This paper gives a summary of the analysis methods of axial flux permanent-magnet motors currently available in the literature. An open-circuit model was built and described using the 2D Linear Motor Modeling Approach. The model was validated by comparing air-gap flux-density waveform and cogging torque results with one of the motors described in the literature as a benchmark problem. The aim of the study was to create a method for the axial-flux motor optimization based on the open-circuit finite element model using the Artap software. By applying the described method, it is possible to use local and global optimization algorithms, such as evolutionary and genetic algorithms, directly using the finite element analysis results. The proposed finite element model can be used for benchmarking and selecting the most appropriate evolutionary and genetic algorithms for this kind of optimization problems.

Open Access: Yes

DOI: 10.3311/PPee.17755

Design of Feedback Linearization Controllers for Induction Motor Drives by using Stator Reference Frame Models

Miklós Kuczmann Krisztian Horvath

Publication Name: Proceedings 2021 IEEE 19th International Power Electronics and Motion Control Conference Pemc 2021

Publication Date: 2021-04-25

Volume: Unknown

Issue: Unknown

Page Range: 766-773

Description:

The paper presents feedback linearization based nonlinear controller design for induction machine torque and speed control. Two state-space representation have been studied, stator currents and rotor mechanical speed are measured to control the drive. The pole placement technique is applied to design controller and an integral action is appended to reach accurate steady-state behavior and improve robustness. The presented methods are verified and compared by simulations.

Open Access: Yes

DOI: 10.1109/PEMC48073.2021.9432503