ISBN: 9781119801627
Jongrae Kim(Author)
Dynamic System Modelling and Analysis with MATLAB and Python: For Control Engineers (IEEE Press Series on Control Systems Theory and Applications) [Hardcover] Kim, Jongrae
Dynamic System Modelling and Analysis with MATLAB and Python: For Control Engineers (IEEE Press Series on Control Systems Theory and Applications) [Hardcover] Kim, Jongrae
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Author
Jongrae Kim(Author)
Publisher
Wiley-IEEE Press
Books
1 book
ISBN 13
9781119801627
About this edition
Dynamic System Modeling & Analysis with MATLAB & PythonA 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 estimationPractical discussions of autonomous vehicles mission planning, including unmanned aerial vehicle path planning and moving target trackingComprehensive explorations of biological network modeling, including bio-molecular networks and stochastic modelingIn-depth examinations of control algorithms using biomolecular networks, including implementationDynamic 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.
More details
Publisher: Wiley-IEEE Press
Language: English
Print length: 336 pages
Binding: Print length
Dimensions: 6.25 x 1 x 9 inches
Item weight: 1.3 pounds
Best Sellers Rank (Amazon): 1541166
Language: English
Print length: 336 pages
Binding: Print length
Dimensions: 6.25 x 1 x 9 inches
Item weight: 1.3 pounds
Best Sellers Rank (Amazon): 1541166
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If the returned book is damaged or missing components, the refund may be denied. If the book arrives damaged (e.g., due to shipping issues), a full refund will be issued. For returns due to non-quality issues (e.g., buyer’s change of mind), the customer must cover return shipping costs.
1. Return Window
- Eligible for return within 30 days of delivery.
137. Return Conditions
- The book must be brand new (unused, unmarked, and undamaged).
Important Notes:
If the returned book is damaged or missing components, the refund may be denied. If the book arrives damaged (e.g., due to shipping issues), a full refund will be issued. For returns due to non-quality issues (e.g., buyer’s change of mind), the customer must cover return shipping costs.
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Wiley-IEEE Press
Dynamic System Modelling and Analysis with MATLAB and Python: For Control Engineers (IEEE Press Series on Control Systems Theory and Applications) [Hardcover] Kim, Jongrae
What's inside the box
Book 1
Dynamic System Modeling & Analysis with MATLAB & Python: For Control Engineers
ISBN 9781119801627
About this collection
Dynamic System Modeling & Analysis with MATLAB & Python: For Control Engineers offers a practical introduction to advanced programming techniques for dynamic system modeling and control using MATLAB and Python. The book covers attitude dynamics, autonomous vehicles, optimal estimation, robustness analysis, stochastic systems, and biomolecular network modeling. Ideal for advanced undergraduate and graduate students, it combines control theory with practical programming examples to build valuable engineering and analytical skills.
Over 5,000 pages of gripping storytelling in a stylish, display-worthy format.
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