Simulating Nonlinear Circuits With Python Power Electronics
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Simulating Nonlinear Circuits With Python Power Electronics
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Author : Shivkumar V. Iyer
language : en
Publisher: Springer
Release Date : 2018-01-25
Simulating Nonlinear Circuits With Python Power Electronics written by Shivkumar V. Iyer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-25 with Technology & Engineering categories.
This book provides readers with an in-depth discussion of circuit simulation, combining basic electrical engineering circuit theory with Python programming. It fills an information gap by describing the development of Python Power Electronics, an open-source software for simulating circuits, and demonstrating its use in a sample circuit. Unlike typical books on circuit theory that describe how circuits can be solved mathematically, followed by examples of simulating circuits using specific, commercial software, this book has a different approach and focus. The author begins by describing every aspect of the open-source software, in the context of non-linear power electronic circuits, as a foundation for aspiring or practicing engineers to embark on further development of open source software for different purposes. By demonstrating explicitly the operation of the software through algorithms, this book brings together the fields of electrical engineering and software technology.
Modeling And Python Simulation Of Magnetics For Power Electronics Applications
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Author : Shivkumar V. Iyer
language : en
Publisher: Springer Nature
Release Date : 2022-06-20
Modeling And Python Simulation Of Magnetics For Power Electronics Applications written by Shivkumar V. Iyer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-20 with Technology & Engineering categories.
This book describes the role of magnetism in electrical engineering, starting from the most basic laws of physics, converted into simulation models such that electrical engineering students can learn by example and practice. The author demystifies a topic that many electrical engineers take for granted, providing readers the tools to be able to understand how any magnetic component works. He describes magnetic components like inductors and transformers in simple understandable language. Mathematical equations related to the basic laws of physics are described in detail along with the physical significance of the equations. Every application is supported by a simulation. All simulations are performed using free and open source software based on Python making the material in this book universally accessible.
Deep Learning Models Explored With Help Of Python Programming
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Author : Editor IJSMI
language : en
Publisher: International Journal of Statistics and Medical Informatics
Release Date : 2020-11-04
Deep Learning Models Explored With Help Of Python Programming written by Editor IJSMI and has been published by International Journal of Statistics and Medical Informatics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with Young Adult Nonfiction categories.
This is the second book in the Deep Learning models series by the author. Deep learning models are widely used in different fields due to its capability to handle large and complex datasets and produce the desired results with more accuracy at a greater speed. In Deep learning models, features are selected automatically through the iterative process wherein the model learns the features by going deep into the dataset and selects the features to be modeled. In the traditional models the features of the dataset needs to be specified in advance. The Deep Learning algorithms are derived from Artificial Neural Network concepts and it is a part of broader Machine Learning Models. The book starts with the Introduction part which is adopted from Author’s Deep Learning Models and its application: An overview with the help of R software book and move on to the Python’s important data processing packages such Numpy, and Pandas. Book then explores the Deep Learning models with the help of packages such as Pytorch, Tensor Flow and Keras and their applications in image processing, stock market prediction, recommender systems and natural language processing. Editor International Journal of Statistics and Medical Informatics www.ijsmi.com/book.php ISBN: 9798558877953 E-Books: https://www.amazon.com/dp/B08MQTM1ZP Paperbacks: https://www.amazon.com/dp/B08MSQ3R8R
Generative Ai An Overview
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Author :
language : en
Publisher: Editor IJSMI
Release Date : 2025-06-19
Generative Ai An Overview written by and has been published by Editor IJSMI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Computers categories.
Generative Artificial Intelligence, an Artificial Intelligence concept which is used to create own data which includes creating text, audio, video, images, programming codes and also advanced data structures such as protein structures. Before the Generative AI, Artificial Intelligence models used Machine learning models to predict pattern and structures. Generative AI models are widely being used in Business, healthcare, education and media sectors. Generative AI helps organizations to be more innovative, cost effective and efficient in their operations. Machine learning, Deep Learning, Large Language Models, transformers forms the basis for creating own data in Generative AI environment. Generative AI or Gen AI uses large data set to frame set of rules which is used in creating of new content. ChatGPT and Microsoft Copilot are one of the examples of the Generative AI tools which helps user to create texts and develop answers to users questions. Both proprietary as well as open source Generative aI models are available now. Large Language Models or foundation models which are training large datasets forms the basis of creating contents in Generative AI. These models do not need to be trained and their trained on their own and this is the major difference between supervised Machine learning models which require labeling for classifying the data. Generative AI model building starts with the data collection and processing of large datasets, then moving to model building, training and pattern learning from those large datasets and then finally rendering and validating different created the different types of contents such as text, audio, video and images. The book also provides overview of Python programming for the readers who are first time learners of Python programming. The contents are adopted from Author’s book on Python programming for Data Scientists
Deep Learning Models And Its Application An Overview With The Help Of R Software Second In Series Machine Learning
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Author : Editor IJSMI
language : en
Publisher: International Journal of Statistics and Medical Informatics
Release Date : 2019-02-09
Deep Learning Models And Its Application An Overview With The Help Of R Software Second In Series Machine Learning written by Editor IJSMI and has been published by International Journal of Statistics and Medical Informatics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-09 with Computers categories.
Deep Learning Models and its application: An overview with the help of R softwarePrefaceDeep learning models are widely used in different fields due to its capability to handle large and complex datasets and produce the desired results with more accuracy at a greater speed. In Deep learning models, features are selected automatically through the iterative process wherein the model learns the features by going deep into the dataset and selects the features to be modeled. In the traditional models the features of the dataset needs to be specified in advance. The Deep Learning algorithms are derived from Artificial Neural Network concepts and it is a part of broader Machine Learning Models. This book intends to provide an overview of Deep Learning models, its application in the areas of image recognition & classification, sentiment analysis, natural language processing, stock market prediction using R statistical software package, an open source software package. The book also includes an introduction to python software package which is also open source software for the benefit of the users.This books is a second book in series after the author’s first book- Machine Learning: An Overview with the Help of R Software https://www.amazon.com/dp/B07KQSN447EditorInternational Journal of Statistics and Medical Informaticswww.ijsmi.com/book.php
Digital Signal Processing In Power Electronics Control Circuits
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Author : Krzysztof Sozański
language : en
Publisher: Springer
Release Date : 2017-05-10
Digital Signal Processing In Power Electronics Control Circuits written by Krzysztof Sozański and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-10 with Technology & Engineering categories.
This revised and extended second edition covers problems concerning the design and realization of digital control algorithms for power electronics circuits using digital signal processing (DSP) methods. This book discusses signal processing, starting from analog signal acquisition, through conversion to digital form, methods of filtration and separation, and ending with pulse control of output power transistors. The book is focused on two applications for the considered methods of digital signal processing, a three-phase shunt active power filter and a digital class-D audio power amplifier. The book bridges the gap between power electronics and digital signal processing. Many control algorithms and circuits for power electronics in the current literature are described using analog transmittances. This may not always be acceptable, especially if half of the sampling frequencies and half of the power transistor switching frequencies are close to the band of interest. Therefore in this book, a digital circuit is treated as a digital circuit with its own peculiar characteristics, rather than an analog circuit. This helps to avoid errors and instability. This edition includes a new chapter dealing with selected problems of simulation of power electronics systems together with digital control circuits. The book includes numerous examples using MATLAB and PSIM programs.
Simulation Nichtlinearer Schaltungen In Der Leistungselektronik Mit Python
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Author : Shivkumar V. Iyer
language : de
Publisher: Springer-Verlag
Release Date : 2024-07-29
Simulation Nichtlinearer Schaltungen In Der Leistungselektronik Mit Python written by Shivkumar V. Iyer and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-29 with Technology & Engineering categories.
Dieses Buch bietet eine eingehende Diskussion zur Schaltungssimulation, indem es grundlegende elektrische Schaltungstheorie mit Python-Programmierung kombiniert. Es schließt eine Informationslücke, indem es die Entwicklung von Python Power Electronics beschreibt, einer Open-Source-Software zur Simulation von Schaltungen, und ihre Anwendung anhand eines Beispiels zeigt. Im Gegensatz zu typischen Büchern über Schaltungstheorie, die beschreiben, wie Schaltungen mathematisch gelöst werden können, gefolgt von Beispielen zur Simulation unter Verwendung spezifischer kommerzieller Software, verfolgt dieses Buch einen anderen Ansatz. Der Autor beschreibt zunächst jeden Aspekt der Open-Source-Software im Kontext nichtlinearer Leistungselektronikschaltungen. Dies dient als Grundlage für angehende oder praktizierende Ingenieure, um die Entwicklung von Open-Source-Software für verschiedene Zwecke voranzutreiben. Durch die explizite Demonstration des Betriebs der Software mittels Algorithmen vereint dieses Buch die Gebiete Elektrotechnik und Softwaretechnologie.
Digital Filter Design Using Python For Power Engineering Applications
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Author : Shivkumar Venkatraman Iyer
language : en
Publisher: Springer Nature
Release Date : 2020-11-30
Digital Filter Design Using Python For Power Engineering Applications written by Shivkumar Venkatraman Iyer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Technology & Engineering categories.
This book is an in-depth description on how to design digital filters. The presentation is geared for practicing engineers, using open source computational tools, while incorporating fundamental signal processing theory. The author includes theory as-needed, with an emphasis on translating to practical application. The book describes tools in detail that can be used for filter design, along with the steps needed to automate the entire process. Breaks down signal processing theory into simple, understandable language for practicing engineers; Provides readers with a highly-practical introduction to digital filter design; Uses open source computational tools, while incorporating fundamental signal processing theory; Describes examples of digital systems in engineering and a description of how they are implemented in practice; Includes case studies where filter design is described in depth from inception to final implementation.
Power Electronics Circuit Analysis With Psim
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Author : Farzin Asadi
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-09-20
Power Electronics Circuit Analysis With Psim written by Farzin Asadi and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-20 with Technology & Engineering categories.
Power electronics systems are nonlinear variable structure systems. They involve passive components such as resistors, capacitors, and inductors, semiconductor switches such as thyristors and MOSFETs, and circuits for control. The analysis and design of such systems presents significant challenges. Fortunately, increased availability of powerful computer and simulation programs makes the analysis/design process much easier. PSIM® is an electronic circuit simulation software package, designed specifically for use in power electronics and motor drive simulations but can be used to simulate any electronic circuit. With fast simulation speed and user friendly interface, PSIM provides a powerful simulation environment to meed the user simulation and development needs. This book shows how to simulate the power electronics circuits in PSIM environment. The prerequisite for this book is a first course on power electronics. This book is composed of eight chapters: Chapter 1 is an introduction to PSIM. Chapter 2 shows the fundamentals of circuit simulation with PSIM. Chapter 3 introduces the SimviewTM. Simview is PSIM’s waveform display and post-processing program. Chapter 4 introduces the most commonly used components of PSIM. Chapter 5 shows how PSIM can be used for analysis of power electronics circuits. 45 examples are studied in this chapter. Chapter 6 shows how you can simulate motors and mechanical loads in PSIM. Chapter 7 introduces the SimCouplerTM. Simcoupler fuses PSIM with Simulink® by providing an interface for co-simulation. Chapter 8 introduces the SmartCtrl®. SmartCtrl is a controller design software specifically geared towards power electronics applications. https://powersimtech.com/2021/10/01/book-release-power-electronics-circuit-analysis-with-psim/
Modeling And Control Of Static Converters For Hybrid Storage Systems
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Author : Fekik, Arezki
language : en
Publisher: IGI Global
Release Date : 2021-09-17
Modeling And Control Of Static Converters For Hybrid Storage Systems written by Fekik, Arezki and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-17 with Technology & Engineering categories.
The energy transition initiated in recent years has enabled the growing integration of renewable production into the energy mix. Microgrids make it possible to maximize the efficiency of energy transmission from source to consumer by bringing the latter together geographically and by reducing losses linked to transport. However, the lack of inertia and the micro-grid support system makes it weak, and energy storage is necessary to ensure its proper functioning. Current storage technologies do not make it possible to provide both a large capacity of energy and power at the same time. Hybrid storage is a solution that combines the advantages of several technologies and reduces their disadvantages. Modeling and Control of Static Converters for Hybrid Storage Systems covers the modeling, control theorems, and optimization techniques that solve many scientific problems for researchers in the field of power converter control for renewable energy hybrid storage and places particular emphasis on the modeling and control of static converters for hybrid storage systems. Covering topics ranging from energy storage to power generation, this book is ideal for automation engineers, electrical engineers, mechanical engineers, professionals, scientists, academicians, master's and doctoral students, and researchers in the disciplines of electrical and mechanical engineering.