This paper presents a novel method to overcome problems of finite set-model-based predictive torque control (MPTC) which has received a lot of attention in the last two decades. Tuning the weighting factor, evaluating a large number of switching states in the loop of the predictive control, and determining the duty cycle are three major challenges of the regular techniques. Torque and flux responses of deadbeat control have been developed to overcome these problems. In our method, firstly, the prediction stage is performed just once. Then, both the weighted cost function and its evaluation are replaced with only simple relationships. The relationships reduce torque ripple and THD of stator current compromisingly. In the next step, the length of the virtual vector is used to determine the duty cycle of the optimum voltage vector without any additional computations. The duty ratio does not focus on any relation or criteria minimizing torque or flux ripple. As a result, torque and flux ripples are reduced equally. The proposed duty cycle is calculated by using a predicted virtual voltage vector. Hence, no new computation is needed to determine the proposed duty cycle. Simulation and experimental results confirm both the steady and dynamic performance of the proposed method in all speed ranges.

The paper is related to the material behaviour of additively manufactured samples obtained by the direct metal laser sintering (DMLS) method from the AlSi10Mg powder. The specimens are subjected to a quasi-static and dynamic compressive loading in a wide range of strain rates and temperatures to investigate the influence of the manufacturing process conditions on the material mechanical properties. For completeness, an analysis of their deformed microstructure is also performed. The obtained results prove the complexity of the material behaviour; therefore, a phenomenological model based on the modified Johnson–Cook approach is proposed. The developed model describes the material behaviour with much better accuracy than the classical constitutive function. The resulted experimental testing and its modelling present the potential of the discussed material and the manufacturing technology.

Large sets of articles are evaluated by predefined measures such as the article numbers and h-indexes. All of these indicators are scalars and refer rather to one discipline or the comprehensive science. Thus, according to disciplinary categories in scientific databases, the distribution has become too rigid for current science needs, dynamically growing towards inter- and trans-disciplinarity. We propose a new method of calculating the impact on knowledge of articles and their citations, creating citation networks, and using one of the optimistic fuzzy aggregation norms to estimate the contribution to the knowledge considering the citation inheritance of citing papers to cited papers (paper children to the paper-parents). Due to this method, we produced the contribution vectors for various disciplines/subdisciplines based on articles and their citations of publications belonging to the considered disciplines. We can prepare the scientific profiles of papers and disciplines based on the contribution vectors. Moreover, we can evaluate how much citations matter in the development of science. Applying this method, we can estimate the contribution to the considered research field caused by papers and their citations from different areas of science. The proposed method might be applicable in the assessment of developing concepts.

The article proposes a model in which Diffusion Approximation is used to analyse the TCP/AQM transmission mechanism in a multinode computer network. In order to prevent traffic congestion, routers implement AQM (Active Queue Management) algorithms. We investigate the influence of using RED-based AQM mechanisms and the fractional controller PI^γ on the transport layer. Additionally, we examine the cases in which the TCP and the UDP flows occur and analyse their mutual influence. Both transport protocols used are independent and work simultaneously. We compare our solution with the Fluid Flow approximation, demonstrating the advantages of Diffusion Approximation.