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Academic literature on the topic 'Input-output matrix. eng'
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Journal articles on the topic "Input-output matrix. eng"
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Moura, Henrique Gomes, Edson Costa Junior, Arcanjo Lenzi, and Vinicius Carvalho Rispoli. "On a Stochastic Regularization Technique for Ill-Conditioned Linear Systems." Open Engineering 9, no. 1 (2019): 52–60. http://dx.doi.org/10.1515/eng-2019-0008.
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AbstractKnowledge about the input–output relations of a system can be very important in many practical situations in engineering. Linear systems theory comes from applied mathematics as an efficient and simple modeling technique for input–output systems relations. Many identification problems arise from a set of linear equations, using known outputs only. It is a type of inverse problems, whenever systems inputs are sought by its output only. This work presents a regularization method, called random matrix method, which is able to reduce errors on the solution of ill-conditioned inverse problems by introducing modifications into the matrix operator that rules the problem. The main advantage of this approach is the possibility of reducing the condition number of the matrix using the probability density function that models the noise in the measurements, leading to better regularization performance. The method described was applied in the context of a force identification problem and the results were compared quantitatively and qualitatively with the classical Tikhonov regularization method. Results show the presented technique provides better results than Tikhonov method when dealing with high-level ill-conditioned inverse problems.
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Tawfiq, Kotb B., A. S. Mansour, and E. E. EL-Kholy. "Implementation of Ultra-Modified Symmetric Sequence Algorithm for Space Vector Modulation of Matrix Converter." International Journal of Applied Power Engineering (IJAPE) 7, no. 3 (2018): 264. http://dx.doi.org/10.11591/ijape.v7.i3.pp264-276.
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<span lang="EN-US">This paper proposes an ultra- modified symmetric sequence algoritm of space vector modulation of matrix converter. The ultra-modified technique improves the drawbacks of the modified one where it provides a reduction of the total harmonic distortion for both output voltage and output current. Some of the advantages of matrix converter are introduced in this paper. These advantages represented in the output frequency of matrix converter which may be greater than input frequency, controlling rms value of the output voltage and the ability to control the input displacement factor.At the end of this paper simulation and experimental results are introduced which give a presice proof to the proposed algorithms.</span>
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Tabak, Pero, and Tomislav Kljak. "Traffic Flows Model of Postal Items Based on Input-output Demands in the Public Postal Network: Case Study of Croatia." PROMET - Traffic&Transportation 21, no. 6 (2012): 395–402. http://dx.doi.org/10.7307/ptt.v21i6.256.
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This paper presents the method for developing matrix model of postal traffic flows (ordinary communication items) in public postal network according to volume and different end-to-end (E2E) processes, which can be used for selecting of relevant model for accessing the public postal network. The presented traffic matrix model can be adjusted after the measurement of real volumes and selecting the numbers of different E2E processes (according to geographical input-output request). During the simulation of the model it could be possible to detect the optimal solution for accessing the public postal network. KEY WORDS: traffic modelling, postal services, access to the public postal network
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Moati, Yahia, and Katia Kouzi. "Investigating the Performances of Direct Torque and Flux Control for Dual Stator Induction Motor with Direct and Indirect Matrix Converter." Periodica Polytechnica Electrical Engineering and Computer Science 64, no. 1 (2019): 97–105. http://dx.doi.org/10.3311/ppee.14977.
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This work investigates the performances of Direct Torque Control (DTC) of Dual Stator Induction Motor (DSIM) powered by two types of Matrix Converter (MC), namely the direct and indirect MC. To this end, the design of DTC with conventional Direct Matrix Converter (DMC) is firstly presented. Then, in order to illustrate the main feature of Indirect Matrix Converter (IMC) in terms of the output voltages and input currents waveforms, the full steps of IMC are well explained. To discuss the performance of each scheme, both techniques are simulated in the Matlab / Simulink environment for a 4.5 kW DSIM at different operating conditions. The obtained results show that the IMC provides high performance in torque and flux at different conditions and while minimization the Total Harmonic Distortion (THD) in the input current compared by the conventional DMC.
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Li, Bao Zhu. "The Measurement of Technology Innovation Spillover Effect between Sections: A Case Study of Tangshan." Applied Mechanics and Materials 590 (June 2014): 851–55. http://dx.doi.org/10.4028/www.scientific.net/amm.590.851.
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In this paper, we focused on the measurement and demonstration of technology innovation spillovers effects between sections. The forward R&D flux coefficient matrix model and backward R&D flux coefficient matrix model are established based on the input-output model, and then the beneficiary’s effects and contributor’s effects of ten leading industries within the Tangshan City are calculated. In the end, we found that the oil and natural gas industry got the highest score. The result can be used to make better suggestions for management of Tangshan regional innovation system.
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Sridhar, Srinath, and Rajeswari Sellamani. "Investigation of input variables on temperature rise while end milling Al/SiC metal matrix composite." World Journal of Engineering 17, no. 4 (2020): 599–607. http://dx.doi.org/10.1108/wje-01-2020-0031.
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Purpose The purpose of this paper is to find out the optimal level as well as the influence of end mill cutter geometrical and machining parameters while machining metal matrix composite. End milling is carried out on Al 356/SiC metal matrix composites (MMC) using high-speed steel (HSS) end mill cutter. The optimum level of input parameters such as helix angle, nose radius, rake angle, cutting speed, feed rate and depth of cut are calculated for minimum temperature rise. Design/methodology/approach L27 Taguchi orthogonal design, signal-to-noise (S/N) ratio, are applied for conducting experiments, and to find the optimal level of input parameters for minimum temperature rise, respectively. Analysis of variance (ANOVA) is used to analyze the significance of input parameters on temperature rise. Findings It is found that the optimal combination of helix angle 400, nose radius 0.8 mm, rake angle 80, cutting speed 30 m/min, feed rate 0.04 mm/rev and depth of cut 0.5 mm have generated minimum temperature rise. From ANOVA analysis, it is found that rake angle influence is more on output performance followed by cutting speed and nose radius compared with other machining and geometrical parameters. Originality/value The influence of geometrical parameters such as helix angle, nose radius and rake angle of end mill cutter on temperature rise while machining MMC has not been explored previously.
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Saad, D. "TRAINING RECURRENT NEURAL NETWORKS — THE MINIMAL TRAJECTORY ALGORITHM." International Journal of Neural Systems 03, no. 01 (1992): 83–101. http://dx.doi.org/10.1142/s0129065792000097.
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The Minimal Trajectory (MINT) algorithm for training recurrent neural networks with a stable end point is based on an algorithmic search for the systems’ representations in the neighbourhood of the minimal trajectory connecting the input-output representations. The said representations appear to be the most probable set for solving the global perceptron problem related to the common weight matrix, connecting all representations of successive time steps in a recurrent discrete neural networks. The search for a proper set of system representations is aided by representation modification rules similar to those presented in our former paper,1 aimed to support contributing hidden and non-end-point representations while supressing non-contributing ones. Similar representation modification rules were used in other training methods for feed-forward networks,2–4 based on modification of the internal representations. A feed-forward version of the MINT algorithm will be presented in another paper.5 Once a proper set of system representations is chosen, the weight matrix is then modified accordingly, via the Perceptron Learning Rule (PLR) to obtain the proper input-output relation. Computer simulations carried out for the restricted cases of parity and teacher-net problems show rapid convergence of the algorithm in comparison with other existing algorithms, together with modest memory requirements.
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Yang, Tiantan, Pingchun Wang, and Feng Li. "Centralized Resource Allocation and Target Setting Based on Data Envelopment Analysis Model." Mathematical Problems in Engineering 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/3826096.
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This paper aims to develop a data envelopment analysis (DEA) based model for allocating input resources and deciding output targets in organizations with a centralized decision-making environment, for example, banks, police stations, and supermarket chains. The central decision-maker has an interest in maximizing the total output production and at the same time minimizing the total input consumption. Traditionally, all decision-making units (DMUs) can be easily projected to the efficient frontier, which is a mathematical feasibility; however, it does not guarantee the managerial feasibility during the planning period. In this paper, we will take potential limitations of input-output changes into account by building a difficulty coefficient matrix of modifying their production in the current production possibility set so that the solution guarantees managerial feasibilities. Three objectives, namely, maximizing aggregated outputs, minimizing the consumption of input resources, and minimizing the total difficulty coefficient, are proposed and incorporated into the formation of resource allocation and target setting scheme. Building on this, we combine DEA and multiobjective programming to solve the resource allocation and target setting problem. In the end, we apply our proposed approach to a real-world problem of sixteen chain hotels to illustrate the efficacy and usefulness of the proposed approach.
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S., Rajeswari, and Sivasakthivel P.S. "Optimisation of milling parameters with multi-performance characteristic on Al/SiC metal matrix composite using grey-fuzzy logic algorithm." Multidiscipline Modeling in Materials and Structures 14, no. 2 (2018): 284–305. http://dx.doi.org/10.1108/mmms-04-2017-0027.
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Purpose The purpose of this paper is to determine the optimum level of geometrical parameters such as helix angle, nose radius, rake angle and machining parameters such as cutting speed, feed rate and depth of cut to arrive minimum surface roughness and tool wear during end milling of Al 356/SiC metal matrix composites (MMCs) using high speed steel end mill cutter. Design/methodology/approach L27 Taguchi orthogonal design with six factors and three levels is employed for conducting experiments. Analysis of variance (ANOVA) is carried out using Minitab16 software to find the influence of each input parameter on output performance measure. Grey-fuzzy logic multi optimisation algorithm is used to find the optimum level of the input parameters for minimum surface roughness and tool wear simultaneously. Findings It is found that optimal combination of helix angle 40°, nose radius 0.8 mm, rake angle 12°, cutting speed 90 m/min, feed rate 0.04 mm/rev and depth of cut 1.5 mm have generated minimum surface roughness of 0.4063 µm and tool wear of 0.0375 mm. From ANOVA analysis, it is found that cutting speed influence is more on output performance followed by helix angle and rake angle compared with other machining and geometrical parameters. Originality/value The influence of tool geometry during end milling of MMC using Grey-fuzzy logic algorithm has not been explored previously.
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Voevoda, Alexander, and Vladislav Filiushov. "Polynomial matrix decomposition for the synthesis of non-square control systems." Analysis and data processing systems, no. 1 (March 26, 2021): 21–38. http://dx.doi.org/10.17212/2782-2001-2021-1-21-38.
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The application of advanced synthesis methods is due to the increasing complexity of control objects. Relatively simple objects are represented as a single-channel system or as a combination of such systems and are calculated separately. More complex systems must be viewed as multi-input and multi-output systems. There are several approaches to this. Within the framework of this paper we will consider the synthesis of a system presented in the form of a polynomial matrix decomposition. It allows us to write a closed loop system in such a way that, by analogy with single-channel systems, it is possible to single out the "numerator" and "denominator" not only of the object and the controller, but of the entire system. For multichannel objects, they will be written in a matrix form allowing you to select the characteristic matrix whose determinant is the characteristic polynomial. In this paper, an emphasis is placed on the derivation of four variants of the polynomial matrix description (PMD) of a closed system. Such a variety of representation of a closed-loop system follows from the equivalent writing of the transfer matrix in the form of left and right PMD of an object or controller. Of the four options for recording the system, two options – left and right – for the characteristic matrix are distinguished. When they are reduced to a diagonal form, the elements on the main diagonal contain the poles of a closed system along the corresponding channel. From the example given at the end of the paper, it can be seen that it is more convenient to use the left characteristic matrix because it has a lower dimension for a non-square object (the number of input and output quantities is not equal), with the number of input actions exceeding the number of output quantities, The right characteristic matrix can also be used to synthesize such a control object, but the resulting solution is more complicated and not obvious. The situation is reversed if we consider an object with fewer inputs than outputs. In this case, the right characteristic matrix will be smaller and more suitable for synthesis. It follows from this that the procedure for synthesizing a control system for non-square objects differs depending on the number of inputs and outputs.