The method of dynamic objects parametric identification via its phase-frequency characteristics is described. A comparison and selection of the first-order numeric methods for a solution of the least ...squares task is done. A parametric identification of the real plant via its empiric characteristics is implemented. A comparison of the developed method and method «procest», which is realized in the CAD MATLAB, is done.
This article will start from how to calculate the volume of Steinmetz Solid by double integration, and expand to formation, cross section and unfolding of it by Matlab in a brand new way, in order to ...explore the internal structure and application. Further, we expand to polygonal Steinmetz Solid by Matlab to acquire more comprehensive understanding and mastery of it.
Abstract
According to investigate the current situation of the envelope of LNG unloading arm, this paper in view of the relationship between the structure and the envelope of LNG unloading arm, a ...complete set of calculation program is designed by using the app designer of MATLAB which can automatically generate the envelope according to the hydrological conditions. The program can be used to guide the emergency disengagement process of the unloading arm in case it can work safely on the LNG terminal in the actual project. This paper provides a design basis for promoting the domestic development of LNG unloading arm.
•Sensitivity analysis (SA) approach is used to quantify the effects of correlated input parameters on model outputs.•Penalized spline regression model is used to approximate complex data.
We provide ...a sensitivity analysis toolbox consisting of a set of Matlab functions that offer utilities for quantifying the influence of uncertain input parameters on uncertain model outputs. It allows the determination of the key input parameters of an output of interest. The results are based on a probability density function (PDF) provided for the input parameters. The toolbox for uncertainty and sensitivity analysis methods consists of three ingredients: (1) sampling method, (2) surrogate models, (3) sensitivity analysis (SA) method. Numerical studies based on analytical functions associated with noise and industrial data are performed to prove the usefulness and effectiveness of this study.
Maximum Power Point Tracking (MPPT) methods are used in photovoltaic (PV) systems to continually maximize the PV array output power which generally depends on solar radiation and cell temperature. ...MPPT methods can be roughly classified into two categories: there are conventional methods, like the Perturbation and Observation (P&O) method and the Incremental Conductance (IncCond) method and advanced methods, such as, fuzzy logic (FL) based MPPT method. This paper presents a survey of these methods in order to analyze, simulate, and evaluate a PV power supply system under varying meteorological conditions. Simulation results, obtained using MATLAB/Simulink, show that static and dynamic performances of fuzzy MPPT controller are better than those of conventional techniques based controller.
We introduce MagAnalyst, a user-friendly Matlab toolbox designed to streamline the fitting process of anhysteretic magnetization curves using the Langevin-Weiss equation of state. Built upon the ...framework proposed by Silveyra and Conde Garrido, our toolbox facilitates the description of magnetically anisotropic materials through negative molecular fields, and of magnetically inhomogeneous materials through multicomponent magnetizations. This study showcases the reliability and accuracy of MagAnalyst, enabling the direct extraction of key parameters such as the anisotropy mean field and the induced anisotropy energy constant. By making this toolbox freely available at https://github.com/matias-gonz/maganalyst/, we aim to provide a valuable tool for comprehending the magnetic properties of soft magnets, thereby contributing to the development of cutting-edge magnetic devices.
In recent years the educationally focused parts of the global control community have given some focus to what constitutes a sensible first course in control (Rossiter et al., 2020) and how to support ...this with high quality learning and teaching resources. This paper contributes to that overall effort in that it provides an example of high quality, open-access resources to support students in their independent learning. One aspect of the ideal first course in control is the suggestion that we (the community) focus more on concepts and understanding and less on tedious paper and pen calculations; to do this the community needs suitable easy to use software for performing computations and producing illustrations. Hence the author is leading what he hopes will be a collaborative community project on creating a MATLAB toolbox to provide such software. The purpose of this paper is to highlight the toolbox, present its current contents and thus enable staff to evaluate and adopt this toolbox and moreover, to reflect on how it might be improved.
•A methodology is presented for building energy performance optimization.•EnergyPlus is used as the building energy simulation program.•Multi-objective particle swarm optimization is used as the ...optimization approach.•The method is applied to a single zone case study in four climatic regions of Iran.•Building specifications are optimized to minimize its annual energy consumption.
This paper proposes an efficient methodology for the simulation-based multi-objective optimization problems, which addresses important limitations for the optimization of the building energy performance. In this work, a mono- and multi-objective particle swarm optimization (MOPSO) algorithm is coupled with EnergyPlus building energy simulation software to find a set of non-dominated solutions to enhance the building energy performance. To evaluate the capability and effectiveness of the approach, the developed method is applied to a single room model, and the effect of building architectural parameters including, the building orientation, the shading overhang specifications, the window size, and the glazing and the wall material properties on the building energy consumption are studied in four major climatic regions of Iran. In the optimization section, mono-criterion and multi-criteria optimization analyses of the annual cooling, heating, and lighting electricity consumption are examined to understand interactions between the objective functions and to minimize the annual total building energy demand. The achieved optimum solutions from the multi-objective optimization process are also reported as Pareto optimal fronts. Finally, the result of multi-criteria minimization is compared with the mono-criterion ones. The results of the triple-objective optimization problem point out that for our typical model, the annual cooling electricity decreases about 19.8–33.3%; while the annual heating and lighting ones increase 1.7–4.8% and 0.5–2.6%, respectively, in comparison to the baseline model for four diverse climatic regions of Iran. In addition, the optimum design leads to 1.6–11.3% diminution of the total annual building electricity demand. The proposed optimization method shows a powerful and useful tool that can save time while searching for the optimal solutions with conflicting objective functions; therefore facilitate decision making in early phases of a building design in order to enhance its energy efficiency.
Up-to-date, technically accurate coverage of essential topics in image and video processingThis is the first book to combine image and video processing with a practical MATLAB®-oriented approach in ...order to demonstrate the most important image and video techniques and algorithms. Utilizing minimal math, the contents are presented in a clear, objective manner, emphasizing and encouraging experimentation. The book has been organized into two parts. Part I: Image Processing begins with an overview of the field, then introduces the fundamental concepts, notation, and terminology associated with image representation and basic image processing operations. Next, it discusses MATLAB® and its Image Processing Toolbox with the start of a series of chapters with hands-on activities and step-by-step tutorials. These chapters cover image acquisition and digitization; arithmetic, logic, and geometric operations; point-based, histogram-based, and neighborhood-based image enhancement techniques; the Fourier Transform and relevant frequency-domain image filtering techniques; image restoration; mathematical morphology; edge detection techniques; image segmentation; image compression and coding; and feature extraction and representation. Part II: Video Processing presents the main concepts and terminology associated with analog video signals and systems, as well as digital video formats and standards. It then describes the technically involved problem of standards conversion, discusses motion estimation and compensation techniques, shows how video sequences can be filtered, and concludes with an example of a solution to object detection and tracking in video sequences using MATLAB®.Extra features of this book include:More than 30 MATLAB® tutorials, which consist of step-by-step guides to exploring image and video processing techniques using MATLAB®Chapters supported by figures, examples, illustrative problems, and exercisesUseful websites and an extensive list of bibliographical referencesThis accessible text is ideal for upper-level undergraduate and graduate students in digital image and video processing courses, as well as for engineers, researchers, software developers, practitioners, and anyone who wishes to learn about these increasingly popular topics on their own.
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