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Dynamic System Modelling And Analysis With Matlab And Python

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Dynamic System Modelling And Analysis With Matlab And Python

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Author : Jongrae Kim
language : en
Publisher: John Wiley & Sons
Release Date : 2022-10-03

Dynamic System Modelling And Analysis With Matlab And Python written by Jongrae Kim and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-03 with Science categories.

Dynamic System Modeling & Analysis with MATLAB & Python A robust introduction to the advanced programming techniques and skills needed for control engineering In Dynamic System Modeling & Analysis with MATLAB & Python: For Control Engineers, accomplished control engineer Dr. Jongrae Kim delivers an insightful and concise introduction to the advanced programming skills required by control engineers. The book discusses dynamic systems used by satellites, aircraft, autonomous robots, and biomolecular networks. Throughout the text, MATLAB and Python are used to consider various dynamic modeling theories and examples. The author covers a range of control topics, including attitude dynamics, attitude kinematics, autonomous vehicles, systems biology, optimal estimation, robustness analysis, and stochastic system. An accompanying website includes a solutions manual as well as MATLAB and Python example code. Dynamic System Modeling & Analysis with MATLAB & Python: For Control Engineers provides readers with a sound starting point to learning programming in the engineering or biology domains. It also offers: A thorough introduction to attitude estimation and control, including attitude kinematics and sensors and extended Kalman filters for attitude estimation Practical discussions of autonomous vehicles mission planning, including unmanned aerial vehicle path planning and moving target tracking Comprehensive explorations of biological network modeling, including bio-molecular networks and stochastic modeling In-depth examinations of control algorithms using biomolecular networks, including implementation Dynamic System Modeling & Analysis with MATLAB & Python: For Control Engineers is an indispensable resource for advanced undergraduate and graduate students seeking practical programming instruction for dynamic system modeling and analysis using control theory.

Dynamic System Modelling And Analysis With Matlab And Python

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Author : Jongrae Kim
language : en
Publisher: John Wiley & Sons
Release Date : 2022-10-18

Dynamic Modeling And Neural Network Based Intelligent Control Of Flexible Systems

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Author : Hejia Gao
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-09

Dynamic Modeling And Neural Network Based Intelligent Control Of Flexible Systems written by Hejia Gao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Technology & Engineering categories.

Comprehensive treatment of several representative flexible systems, ranging from dynamic modeling and intelligent control design through to stability analysis Fully illustrated throughout, Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems proposes high-efficiency modeling methods and novel intelligent control strategies for several representative flexible systems developed by means of neural networks. It discusses tracking control of multi-link flexible manipulators, vibration control of flexible buildings under natural disasters, and fault-tolerant control of bionic flexible flapping-wing aircraft and addresses common challenges like external disturbances, dynamic uncertainties, output constraints, and actuator faults. Expanding on its theoretical deliberations, the book includes many case studies demonstrating how the proposed approaches work in practice. Experimental investigations are carried out on Quanser Rotary Flexible Link, Quanser 2 DOF Serial Flexible Link, Quanser Active Mass Damper, and Quanser Smart Structure platforms. The book starts by providing an overview of dynamic modeling and intelligent control of flexible systems, introducing several important issues, along with modeling and control methods of three typical flexible systems. Other topics include: Foundational mathematical preliminaries including the Hamilton principle, model discretization methods, Lagrange’s equation method, and Lyapunov’s stability theorem Dynamic modeling of a single-link flexible robotic manipulator and vibration control design for a string with the boundary time-varying output constraint Unknown time-varying disturbances, such as earthquakes and strong winds, and how to suppress them and use MATLAB and Quanser to verify effectiveness of a proposed control Adaptive vibration control methods for a single-floor building-like structure equipped with an active mass damper (AMD) Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems is an invaluable resource for researchers and engineers seeking high-efficiency modeling methods and neural-network-based control solutions for flexible systems, along with industry engineers and researchers who are interested in control theory and applications and students in related programs of study.

Modeling And Simulation Of Systems Using Matlab And Simulink

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Author : Devendra K. Chaturvedi
language : en
Publisher: CRC Press
Release Date : 2017-12-19

Modeling And Simulation Of Systems Using Matlab And Simulink written by Devendra K. Chaturvedi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and Simulink® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.

Methods Of Developing Sliding Mode Controllers

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Author : Reihaneh Kardehi Moghaddam
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-03

Methods Of Developing Sliding Mode Controllers written by Reihaneh Kardehi Moghaddam and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Science categories.

Comprehensive, fast-access guide to different types of sliding mode controllers and their programming and simulation in MATLAB and Simulink Methods of Developing Sliding Mode Controllers delivers a practical review of sliding mode controllers (SMCs) and their challenges with coverage of related theorems, stability analysis, and how to program and simulate SMCs in MATLAB and Simulink. The book details the latest methods of their development and their applications in the automotive, aerospace, and robotics industries. Initial chapters detail a range of different types of controllers. A combination of sliding and backstepping control is introduced and simulated and the phenomenon of chattering and effective solutions to reduce it are provided, along with suitable examples and analytical tables of the results. The final two chapters are related to fixed-time and event-triggered SMCs. Extensive Matlab/Simulink supported examples and simulation program code/block diagrams are included throughout. Methods of Developing Sliding Mode Controllers: Design and Matlab Simulation explores sample topics including: Classic SMCs, covering variable structures, including relays and feedback control with switching gains, as well as controller design and theoretical foundations Terminal SMCs, covering nonsingular and fast variations, dynamic SMCs, and fuzzy SMCs, covering fuzzy approximation and equivalent control as well as indirect design Super twisting SMCs, adaptive SMCs, and backstepping SMCs, covering the backstepping method and chaotic duffing oscillator equations Sign, Epsilon-sign, saturation, hyperbolic tangent, and generalized hyperbolic tangent functions for chatter reduction Methods of Developing Sliding Mode Controllers: Design and Matlab Simulation is a concise yet comprehensive and highly practical reference on the subject for graduate/postgraduate students in electrical engineering, mechanical engineering, and biomedical engineering along with academics and professionals in fields related to SMCs.

Advanced Control Of Power Converters

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Author : Hasan Komurcugil
language : en
Publisher: John Wiley & Sons
Release Date : 2023-08-01

Advanced Control Of Power Converters written by Hasan Komurcugil and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-01 with Science categories.

Advanced Control of Power Converters Unique resource presenting advanced nonlinear control methods for power converters, plus simulation, controller design, analyses, and case studies Advanced Control of Power Converters equips readers with the latest knowledge of three control methods developed for power converters: nonlinear control methods such as sliding mode control, Lyapunov-function-based control, and model predictive control. Readers will learn about the design of each control method, and simulation case studies and results will be presented and discussed to point out the behavior of each control method in different applications. In this way, readers wishing to learn these control methods can gain insight on how to design and simulate each control method easily. The book is organized into three clear sections: introduction of classical and advanced control methods, design of advanced control methods, and case studies. Each control method is supported by simulation examples along with Simulink models which are provided on a separate website. Contributed to by five highly qualified authors, Advanced Control of Power Converters covers sample topics such as: Mathematical modeling of single- and three-phase grid-connected inverter with LCL filter, three-phase dynamic voltage restorer, design of sliding mode control and switching frequency computation under single- and double-band hysteresis modulations Modeling of single-phase UPS inverter and three-phase rectifier and their Lyapunov-function-based control design for global stability assurance Design of model predictive control for single-phase T-type rectifier, three-phase shunt active power filter, three-phase quasi-Z-source inverter, three-phase rectifier, distributed generation inverters in islanded ac microgrids How to realize the Simulink models in sliding mode control, Lyapunov-function-based control and model predictive control How to build and run a real-time model as well as rapid prototyping of power converter by using OPAL-RT simulator Advanced Control of Power Converters is an ideal resource on the subject for researchers, engineering professionals, and undergraduate/graduate students in electrical engineering and mechatronics; as an advanced level book, and it is expected that readers will have prior knowledge of power converters and control systems.

Parameter Estimation Of Permanent Magnet Synchronous Machines

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Author : Zi Qiang Zhu
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-11

Parameter Estimation Of Permanent Magnet Synchronous Machines written by Zi Qiang Zhu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-11 with Technology & Engineering categories.

Comprehensive reference delivering basic principles and state-of-the-art parameter estimation techniques for permanent magnet synchronous machines (PMSMs) Parameter Estimation of Permanent Magnet Synchronous Machines reviews estimation techniques of the parameters of PMSMs, introducing basic models and techniques, as well as issues and solutions in parameter estimation challenges, including rank deficiency, inverter nonlinearity, and magnetic saturation. This book is supported by theories, experiments, and simulation examples for each technique covered. Topics explored in this book include: Electrical and mechanical parameter estimation techniques, including those based on current/voltage injection and position offset injection, under constant or variable speed and load for sensored or sensorless controlled PMSMs, accounting for magnetic saturation, cross-coupling, inverter nonlinearity, temperature effects, and more Recursive least squares, the Kalman filter, model reference adaptive systems, Adaline neural networks, gradient-based methods, particle swarm optimization, and genetic algorithms Applications of parameter estimation techniques for improvement of control performance, sensorless control, thermal condition monitoring, and fault diagnosis This book is an essential reference for professionals working on the control and design of electrical machines, researchers studying electric vehicles, wind power generators, aerospace, industrial drives, automation systems, robots, and domestic appliances, as well as advanced undergraduate and graduate students in related programs of study.

Data Driven Science And Engineering

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Author : Steven L. Brunton
language : en
Publisher: Cambridge University Press
Release Date : 2022-05-05

Data Driven Science And Engineering written by Steven L. Brunton and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-05 with Computers categories.

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

The Impact Of Automatic Control Research On Industrial Innovation

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Author : Silvia Mastellone
language : en
Publisher: John Wiley & Sons
Release Date : 2023-12-27

The Impact Of Automatic Control Research On Industrial Innovation written by Silvia Mastellone and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-27 with Science categories.

The Impact of Automatic Control Research on Industrial Innovation Bring together the theory and practice of control research with this innovative overview Automatic control research focuses on subjects pertaining to the theory and practice of automation science and technology subjects such as industrial automation, robotics, and human-machine interaction. With each passing year, these subjects become more relevant to researchers, policymakers, industrialists, and workers alike. The work of academic control researchers, however, is often distant from the perspectives of industry practitioners, creating the potential for insights to be lost on both sides. The Impact of Automatic Control Research on Industrial Innovation seeks to close this distance, providing an industrial perspective on the future of control research. It seeks to outline the possible and ongoing impacts of automatic control technologies across a range of industries, enabling readers to understand the connection between theory and practice. The result is a book that combines scholarly and practical understandings of industrial innovations and their possible role in building a sustainable world. The Impact of Automatic Control Research on Industrial Innovation readers will also find: Insights on industrial and commercial applications of automatic control theory. Detailed discussion of industrial sectors including power, automotive, production processes, and more. An applied research roadmap for each sector. This book is a must-own for both control researchers and control engineers, in both theoretical and applied contexts, as well as for graduate or continuing education courses on control theory and practice. Editorial board: Silvia Mastellone, University of Applied Science Northwestern Switzerland; Alex van Delft, vanDelft.it, DSM; Tariq Samad, University of Minnesota; Iven Mareels, Federation University Australia, IBM; Scott Bortoff, Mitsubishi Electric Research Labs; Stefano Di Cairano, Mitsubishi Electric Research Labs; Alisa Rupenyan, ETHZ.

Dynamic Simulation And Virtual Reality In Hydrology And Water Resources Management

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Author : Ramesh S.V. Teegavarapu
language : en
Publisher: CRC Press
Release Date : 2021-07-27

Dynamic Simulation And Virtual Reality In Hydrology And Water Resources Management written by Ramesh S.V. Teegavarapu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-27 with Science categories.

Dynamic Simulation and Virtual Reality in Hydrology and Water Resources Management focuses on the understanding, use, and application of system dynamics simulation and virtual reality approaches for modeling the spatial and temporal behavior of natural and managed hydro-environmental systems. The book discusses concepts of systems thinking and system dynamics approach, and it furthers understanding of the dynamic behavior of natural and engineering systems using feedbacks and dynamic simulation. Numerous examples of models built using different system dynamics simulation modeling environments are provided. It also introduces concepts related to computer animation and virtual reality–based immersive modeling. Applications of systems dynamics, simulation with animation, and virtual reality approaches for modeling and management of hydro-environmental systems are illustrated through case studies. This text is ideal for water resources professionals, graduate students, hydrologic modelers, and engineers who are interested in systems thinking, dynamic simulation, and virtual reality modeling approaches. It will serve as a valuable reference for engineering professionals who model, manage, and operate hydrosystems. Engineering educators will find the book immensely useful to enhance the learning experiences of students. Dr. Ramesh S. V. Teegavarapu is a professor at Florida Atlantic University with expertise in modeling water resources and environmental systems, hydroinformatics, and climate change. Dr. Chandramouli V. Chandramouli is a professor at Purdue University Northwest. His expertise is in water resources and environmental modeling integrating artificial intelligence techniques.

Dynamic System Modelling And Analysis With Matlab And Python

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