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Abbas Chamseddine

Researcher at Concordia University

Publications -  48
Citations -  1673

Abbas Chamseddine is an academic researcher from Concordia University. The author has contributed to research in topics: Fault detection and isolation & Actuator. The author has an hindex of 18, co-authored 48 publications receiving 1505 citations. Previous affiliations of Abbas Chamseddine include École de technologie supérieure & Nancy-Université.

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Fault-tolerant Control Systems: Design and Practical Applications

TL;DR: Fault-tolerant control systems have been extensively studied in the literature as discussed by the authors, with a focus on real-world applications such as a winding machine, a hydraulic three-tank system, and an active suspension system.
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Development of advanced FDD and FTC techniques with application to an unmanned quadrotor helicopter testbed

TL;DR: An overview on the existing works on fault detection and diagnosis (FDD) and fault-tolerant control (FTC) for unmanned rotorcraft systems and techniques developed recently at the Networked Autonomous Vehicles Lab of Concordia University are presented.
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Flatness-Based Trajectory Planning/Replanning for a Quadrotor Unmanned Aerial Vehicle

TL;DR: A flatness-based flight trajectory planning/replanning strategy is proposed for a quadrotor unmanned aerial vehicle (UAV) to drive the system from an initial position to a final one without hitting the actuator constraints while minimizing the total time of the mission or minimize the total energy spent.
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Experimental Test of a Two-Stage Kalman Filter for Actuator Fault Detection and Diagnosis of an Unmanned Quadrotor Helicopter

TL;DR: The developed FDD algorithm is evaluated through experimental application to an unmanned quadrotor helicopter testbed available at the Department of Mechanical and Industrial Engineering of Concordia University, and shows the effectiveness of the proposed FDD method.
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Active fault-tolerant control system design with trajectory re-planning against actuator faults and saturation: Application to a quadrotor unmanned aerial vehicle

TL;DR: In this paper, a reconfigurable fault-tolerant control (FTC) and trajectory planning scheme with emphasis on online decision-making using differential flatness is proposed, where the reference trajectories are synthesized so as to drive the system as fast as possible to its desired setpoint without violating system constraints.