Название: Моделирование антенных устройств в Matlab с использованием пакета расширения Antenna Toolbox
Автор: Типикин А. А.
Издательство: СОЛОН-Пресс
Год: 2019
Страниц: 115
Формат: PDF
Размер: 16,91 МБ
Качество: отличное
Язык: русский

Моделирование антенных устройств в Matlab с использованием пакета расширения Antenna Toolbox — Система компьютерной математики Matlab бесспорно является одним из самых популярных программных пакетов для научных исследований и инженерных вычислений.

Название: MATLAB For Dummies, 2nd Edition
Автор: Jim Sizemore, John Paul Mueller
Издательство: For Dummies
Год: 2021
Страниц: 496
Язык: английский
Формат: epub
Размер: 10.1 MB

Go from total MATLAB newbie to plotting graphs and solving equations in a flash! MATLAB is one of the most powerful and commonly used tools in the STEM field. But did you know it doesn't take an advanced degree or a ton of computer experience to learn it? MATLAB For Dummies is the roadmap you've been looking for to simplify and explain this feature-filled tool. This handy reference walks you through every step of the way as you learn the MATLAB language and environment inside-and-out. Starting with straightforward basics before moving on to more advanced material like Live Functions and Live Scripts, this easy-to-read guide shows you how to make your way around MATLAB with screenshots and newly updated procedures.

Название: Antenna and EM Modeling with MATLAB Antenna Toolbox, 2nd Edition
Автор: Sergey N. Makarov, Vishwanath Iyer
Издательство: Wiley
Год: 2021
Страниц: 338
Язык: английский
Формат: pdf (true)
Размер: 23.1 MB

An essential text to MATLAB Antenna Toolbox as accessible and easy-to-use full-wave antenna modeling tool. Antenna and EM Modeling with MATLAB Antenna Toolbox is a textbook on antennas intended for a one semester course. The core philosophy is to introduce the key antenna concepts and follow them up with full-wave modeling and optimization in the MATLAB Antenna Toolbox. Such an approach will enable immediate testing of theoretical concepts by experimenting in software. It also provides the direct path to research work.

Название: Model Order Reduction: Volume 3 Applications
Автор: Peter Benner, Stefano Grivet-Talocia, Alfio Quarteroni
Издательство: De Gruyter
Год: 2021
Страниц: 474
Язык: английский
Формат: pdf (true), epub
Размер: 78.4 MB

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.

Название: Electromagnetic Diffraction Modeling and Simulation With Matlab
Автор: Gokhan Apaydin, Levent Sevgi
Издательство: Artech House
Год: 2021
Страниц: 225
Язык: английский
Формат: pdf (true)
Размер: 17.6 MB

This exciting new resource presents a comprehensive introduction to the fundamentals of diffraction of two-dimensional canonical structures, including wedge, strip, and triangular cylinder with different boundary conditions. Maxwell equations are discussed, along with wave equation and scattered, diffracted and fringe fields. Geometric optics, as well as the geometric theory of diffraction are explained. With MATLAB scripts included for several well-known electromagnetic diffraction problems, this book discusses diffraction fundamentals of two-dimensional structures with different boundary conditions and analytical numerical methods that are used to show diffraction.

Название: Industrial PID Controller Tuning: With a Multiobjective Framework Using MATLAB
Автор: Jose David Rojas, Orlando Arrieta
Издательство: Springer
Год: 2021
Страниц: 158
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Industrial PID Controller Tuning presents a different view of the servo/regulator compromise that has been studied for a long time in industrial control research. Optimal tuning generally involves comparison of cost functions (e.g., a quadratic function of the error or a time-weighted absolute value of the error) but without taking advantage of available multi-objective optimization methods. The book does make use of multi-objective optimization to account for several sources of disturbance, applying them to a more realistic problem: how to select the tuning of a controller when both servo and regulator responses are important.

Название: Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults
Автор: Nabamita Banerjee Roy and Kesab Bhattacharya
Издательство: CRC Press
Год: 2022
Страниц: 144
Язык: английский
Формат: pdf (true)
Размер: 13.3 MB

Accurate, fast, and reliable fault classification techniques are an important operational requirement in modern-day power transmission systems. Application of Signal Processing Tools and Neural Network in Diagnosis of Power System Faults examines power system faults and conventional techniques of fault analysis. The authors provide insight into artificial neural networks and their applications, with illustrations, for identifying power system faults. Wavelet transform and its application are discussed as well as an elaborate method of Stockwell transform. The authors also employ probabilistic neural networks (PNN) and back propagation neural networks (BPNN) to identify the different types of faults and determine their corresponding locations, respectively.

Название: MATLAB Deep Learning Toolbox Reference (R2021a)
Автор: Mark Hudson Beale, Martin T. Hagan, Howard B. Demuth
Издательство: The MathWorks, Inc.
Год: 2021
Страниц: 1894
Язык: английский
Формат: pdf (true)
Размер: 12.5 MB

Design, train, and analyze deep learning networks. Deep Learning Toolbox provides a framework for designing and implementing deep neural networks with algorithms, pretrained models, and apps. You can use convolutional neural networks (ConvNets, CNNs) and long short-term memory (LSTM) networks to perform classification and regression on image, time-series, and text data. You can build network architectures such as generative adversarial networks (GANs) and Siamese networks using automatic differentiation, custom training loops, and shared weights. With the Deep Network Designer app, you can design, analyze, and train networks graphically. The Experiment Manager app helps you manage multiple deep learning experiments, keep track of training parameters, analyze results, and compare code from different experiments.

Название: Microgrids
Автор: Sanjeevikumar Padmanaban, K. Nithiyananthan
Издательство: CRC Press
Год: 2021
Страниц: 103
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Microgrids offers a complete discussion and details about microgrids and their applications, including modeling of AC/DC and hybrid grids in a tied mode with simulation for the solar systems, wind turbines, biomass and fuel cells, and deployment issues. The data communications and control mechanism implementations are analyzed for proper coordination of the AC/DC microgrid. The various real-time applications and future development of the microgrid are also discussed in this book, with MATLAB-based simulations and results.

Название: Детерминированные математические модели
Автор: Масловская А.Г.
Издательство: Амурский государственный университет
Год: 2020
Язык: русский
Формат: pdf
Размер: 10.28 MB

В учебно-методическом пособии представлены подходы к реализации детерминированных математических моделей, формализуемых с помощью алгебраических уравнений, обыкновенных дифференциальных уравнений и уравнений с частными производными. Приводятся теоретические основы детерминированного моделирования, излагаются методы и алгоритмы решения прикладных задач в указанных постановках, освещаются практические аспекты реализации моделей с использованием инструментария пакета прикладных программ Matlab.