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Youmin Zhang

Researcher at Concordia University

Publications -  777
Citations -  20098

Youmin Zhang is an academic researcher from Concordia University. The author has contributed to research in topics: Control theory & Actuator. The author has an hindex of 58, co-authored 582 publications receiving 15226 citations. Previous affiliations of Youmin Zhang include Hunan University & Imperial College London.

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Bibliographical review on reconfigurable fault-tolerant control systems

TL;DR: A bibliographical review on reconfigurable fault-tolerant control systems (FTCS) is presented, with emphasis on the reconfiguring/restructurable controller design techniques.
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Unmanned surface vehicles: An overview of developments and challenges

TL;DR: An overview of both historical and recent USVs development is provided, along with some fundamental definitions, and existing USVs GNC approaches are outlined and classified according to various criteria, such as their applications, methodologies, and challenges.
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A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques

TL;DR: Technologies related to UAV forest fire monitoring, detection, and fighting are briefly reviewed, including those associated with fire detection, diagnosis, and prognosis, image vibration elimination, and cooperative control of UAVs.
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Adaptive Sliding Mode Fault Tolerant Attitude Tracking Control for Flexible Spacecraft Under Actuator Saturation

TL;DR: A novel fault tolerant attitude tracking control scheme is developed for flexible spacecraft with partial loss of actuator effectiveness fault and it is shown that the roll, pitch and yaw angle trajectories can globally asymptotically track the desired attitude in the face of faulty actuator, system uncertainties, external disturbances and even actuator saturation.
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Active fault-tolerant control system against partial actuator failures

TL;DR: In this paper, a two-stage adaptive Kalman filter for simultaneous state and fault parameter estimation, statistical decisions for fault detection, and activation of controller reconfiguration is proposed.