Dynamic System Modelling Analysis by Kim Jongrae (14 results)

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  • Language: English

    Published by Wiley, 2022

    1119801621 / 9781119801627

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  • Language: English

    Published by Wiley-IEEE Press, 2022

    1119801621 / 9781119801627

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  • Language: English

    Published by Wiley-IEEE Press, 2022

    1119801621 / 9781119801627

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  • Language: English

    Published by Wiley-IEEE Press, 2022

    1119801621 / 9781119801627

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  • Language: English

    Published by John Wiley and Sons Inc, US, 2022

    1119801621 / 9781119801627

    • Hardcover
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    Hardback. Condition: New. 1st. Dynamic System Modeling and Analysis with MATLAB and Python A robust introduction to the advanced programming techniques and skills needed for control engineering In Dynamic System Modeling and Analysis with MATLAB and 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 and Analysis with MATLAB and 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 implementation Dynamic System Modeling and Analysis with MATLAB and 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.…

  • Language: English

    Published by John Wiley & Sons Inc, 2022

    1119801621 / 9781119801627

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    Condition: New. 2022. 1st Edition. Hardcover. . . . . .

  • Language: English

    Published by IEEE, 2022

    1119801621 / 9781119801627

    • Hardcover

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    Hardcover. Condition: Brand New. 400 pages. 9.25x6.34x0.87 inches. In Stock.

  • Language: English

    Published by John Wiley & Sons Inc, 2022

    1119801621 / 9781119801627

    • Hardcover

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    Condition: New. 2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

  • Language: English

    Published by John Wiley and Sons Inc, US, 2022

    1119801621 / 9781119801627

    • Hardcover
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    Hardback. Condition: New. 1st. Dynamic System Modeling and Analysis with MATLAB and Python A robust introduction to the advanced programming techniques and skills needed for control engineering In Dynamic System Modeling and Analysis with MATLAB and 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 and Analysis with MATLAB and 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 implementation Dynamic System Modeling and Analysis with MATLAB and 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.…

  • Language: English

    Published by Wiley-IEEE Press, 2022

    1119801621 / 9781119801627

    • Hardcover

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  • Language: English

    Published by John Wiley & Sons Inc, New York, 2022

    1119801621 / 9781119801627

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    Hardcover. Condition: new. Hardcover. 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 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 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Language: English

    Published by John Wiley & Sons Inc, New York, 2022

    1119801621 / 9781119801627

    • Hardcover
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    Hardcover. Condition: new. Hardcover. 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 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 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Language: English

    Published by John Wiley & Sons Inc, New York, 2022

    1119801621 / 9781119801627

    • Hardcover
    • Print on Demand

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    Hardcover. Condition: new. Hardcover. 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 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 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

  • Language: English

    Published by IEEE, 2022

    1119801621 / 9781119801627

    • Hardcover
    • Print on Demand

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    Hardcover. Condition: Brand New. 400 pages. 9.25x6.34x0.87 inches. In Stock. This item is printed on demand.