Dynamic System Modelling and Analysis with MATLAB and Python: For Control Engineers
Jongrae Kim, University of Leeds
Wiley-IEEE Press, 2022
ISBN: 9781119801627;
Language: English
In Dynamic System Modeling & Analysis with MATLAB & Python, accomplished control engineer Dr. Jongrae Kim delivers an 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 is 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 example code.
This book 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
