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  1. No Access

    Reference Work Entry In depth

    Motion Control

    This Chapter will focus on the motion control of robotic rigid manipulators. In other words, this Chapter does not treat the motion control of mobile robots, flexible manipulators, and manipulat...

    Wankyun Chung Prof, Li-Chen Fu PhD, Su-Hau Hsu in Springer Handbook of Robotics (2008)

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    Reference Work Entry In depth

    Drowsy Driver Posture, Facial, and Eye Monitoring Methods

    This chapter presents a real-time computer vision system for monitoring drowsy driver. It uses one remotely located charge coupled device (CCD) camera to acquire video of the driver’s face. From the video, var...

    Jixu Chen, Qiang Ji in Handbook of Intelligent Vehicles (2012)

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    Living Reference Work Entry In depth

    Sampled-Data \(\mathcal{H}_{\infty }\) Optimization

    \(\mathcal{H}_{\infty }\) optimization is central in robust control. When controllers are implemented by computers, sampled-data control systems arise. Designing

    Tongwen Chen in Encyclopedia of Systems and Control

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    Reference Work Entry In depth

    H2 Optimal Control

    An optimization-based approach to linear feedback control system design uses the H2 norm, or energy of the impulse response, to quantify closed-loop performance. In this entry, an overview of state-space methods ...

    Ben M. Chen in Encyclopedia of Systems and Control (2015)

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    Reference Work Entry In depth

    Sampled-Data H-Infinity Optimization

    ℋ ∞ optimization is central in robust control. When controllers are implemented by computers, sampled-data control systems arise. Designing ℋ ∞ -optima...

    Tongwen Chen in Encyclopedia of Systems and Control (2015)

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    Reference Work Entry In depth

    Fundamental Limitation of Feedback Control

    Feedback systems are designed to meet many different objectives. Yet, not all design objectives are achievable as desired due to the fact that they are often mutually conflicting and that the system properties...

    Jie Chen in Encyclopedia of Systems and Control (2015)

  7. No Access

    Living Reference Work Entry In depth

    H2 Optimal Control

    An optimization-based approach to linear feedback control system design uses the H2 norm, or energy of the impulse response, to quantify closed-loop performance. In this entry, an overview of state-space methods ...

    Ben M. Chen in Encyclopedia of Systems and Control

  8. No Access

    Living Reference Work Entry In depth

    Building Fault Detection and Diagnostics

    Malfunctioning control, operation, and building equipment, such as unstable control loop, biased sensor, and stuck outdoor air damper, are considered as the top cause for “deficient” building systems. In this ...

    ** Wen, Yimin Chen, Adam Regnier in Encyclopedia of Systems and Control

  9. No Access

    Living Reference Work Entry In depth

    Fundamental Limitation of Feedback Control

    Feedback systems are designed to meet many different objectives. Yet, not all design objectives are achievable as desired due to the fact that they are often mutually conflicting and that system properties the...

    Jie Chen in Encyclopedia of Systems and Control

  10. No Access

    Living Reference Work Entry In depth

    2.5D Vision-Based Estimation

    2.5D vision-based techniques, also known as hybrid vision-based techniques, provide flexible ways to estimate the range or velocity of moving objects. The information from both the image space (2D) and the Car...

    Jian Chen in Encyclopedia of Systems and Control

  11. No Access

    Living Reference Work Entry In depth

    Small Phase Theorem

    The small gain theorem is one of the most important results in the theory of robust control. It lays the foundation for the traditional gain-based analysis and synthesis, especially within the ...

    Wei Chen, Dan Wang, Li Qiu in Encyclopedia of Systems and Control

  12. No Access

    Living Reference Work Entry In depth

    Stochastic Approximation with Applications

    The topic of stochastic approximation (SA) and its pioneer algorithm (the Robbins-Monro (RM) algorithm) with methods for its convergence analysis are described. Algorithms modified from the RM algorithm such a...

    Han-Fu Chen in Encyclopedia of Systems and Control

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    Living Reference Work Entry In depth

    Multi-objective \(\mathscr {H}_2/\mathscr {H}_\infty \) Control Designs

    In this entry, the implementation of Youla-Kučera parameterization of all stabilizing controllers for feedback control systems is first presented. Robust and optimal control designs are then discussed within t...

    **ang Chen, Kemin Zhou in Encyclopedia of Systems and Control

  14. No Access

    Reference Work Entry In depth

    Small Phase Theorem

    The small gain theorem is one of the most important results in the theory of robust control. It lays the foundation for the traditional gain-based analysis and synthesis, especially within the ...

    Wei Chen, Dan Wang, Li Qiu in Encyclopedia of Systems and Control (2021)

  15. No Access

    Reference Work Entry In depth

    Building Fault Detection and Diagnostics

    Malfunctioning control, operation, and building equipment, such as unstable control loop, biased sensor, and stuck outdoor air damper, are considered as the top cause for “deficient” building systems. In this ...

    ** Wen, Yimin Chen, Adam Regnier in Encyclopedia of Systems and Control (2021)

  16. No Access

    Reference Work Entry In depth

    H2 Optimal Control

    An optimization-based approach to linear feedback control system design uses the H2 norm, or energy of the impulse response, to quantify closed-loop performance. In this entry, an overview of state-space methods ...

    Ben M. Chen in Encyclopedia of Systems and Control (2021)

  17. No Access

    Reference Work Entry In depth

    Stochastic Approximation with Applications

    The topic of stochastic approximation (SA) and its pioneer algorithm (the Robbins-Monro (RM) algorithm) with methods for its convergence analysis are described. Algorithms modified from the RM algorithm such a...

    Han-Fu Chen in Encyclopedia of Systems and Control (2021)

  18. No Access

    Reference Work Entry In depth

    Sampled-Data H-Infinity Optimization

    ℋ∞ optimization is central in robust control. When controllers are implemented by computers, sampled-data control systems arise. Designing ℋ∞-optimal controllers in purely continuous time or in purely discrete ti...

    Tongwen Chen in Encyclopedia of Systems and Control (2021)

  19. No Access

    Reference Work Entry In depth

    2.5D Vision-Based Estimation

    2.5D vision-based techniques, also known as hybrid vision-based techniques, provide flexible ways to estimate the range or velocity of moving objects. The information from both the image space (2D) and the Car...

    Jian Chen in Encyclopedia of Systems and Control (2021)

  20. No Access

    Reference Work Entry In depth

    Fundamental Limitation of Feedback Control

    Feedback systems are designed to meet many different objectives. Yet, not all design objectives are achievable as desired due to the fact that they are often mutually conflicting and that system properties the...

    Jie Chen in Encyclopedia of Systems and Control (2021)

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