Dynamic System Modeling and Analysis with MATLAB and Python


For Control Engineers

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