Dynamic System Modelling and Analysis with MATLAB and Python: For Control Engineers (IEEE Press Series on Control Systems Theory and Applications)
Author:Jongrae Kim (Author)
Publisher finelybook 出版社: Wiley-IEEE Press
Publication Date 出版日期: 2022-10-18
Edition 版本: 1st
Language 语言: English
Print Length 页数: 336 pages
ISBN-10: 1119801621
ISBN-13: 9781119801627
Book Description
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.
Editorial Reviews
From the Back Cover
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.
About the Author
Jongrae Kim, PhD, is Associate Professor at the Institute of Design, Robotics & Optimization (iDRO), School of Mechanical Engineering, University of Leeds in the United Kingdom. He obtained his doctorate from the Department of Aerospace Engineering at Texas A&M University in the United States in 2002.
