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Abdul Rashid Husain
Researcher at Universiti Teknologi Malaysia
Publications - 131
Citations - 1430
Abdul Rashid Husain is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Control theory & Sliding mode control. The author has an hindex of 17, co-authored 122 publications receiving 1133 citations. Previous affiliations of Abdul Rashid Husain include Universiti Teknikal Malaysia Melaka.
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An optimal performance control scheme for a 3D crane
TL;DR: In this article, the authors presented an optimal performance control scheme for control of a 3D crane system including a zero vibration shaper, which considers two control objectives concurrently: fast and accurate positioning of a trolley and minimum sway of a payload.
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Enhanced Backstepping Controller Design with Application to Autonomous Quadrotor Unmanned Aerial Vehicle
TL;DR: The developed robust control system comprises a backstepping-based robust control design of the quadrotor UAV that can guarantee the stability of the nominal model system, while PD control is used to attenuate the effects caused by system uncertainties.
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Improved unity magnitude input shaping scheme for sway control of an underactuated 3D overhead crane with hoisting
Mohammad Javad Maghsoudi,Liyana Ramli,Shahdan Sudin,Zaharuddin Mohamed,Abdul Rashid Husain,Herman Wahid +5 more
TL;DR: An improved unity magnitude zero vibration (UMZV) shaper for payload sway reduction of an underactuated 3D overhead crane with hoisting effects is proposed and can be useful for an operator to handle cranes in three dimensions without motion-induced sway problem.
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Intelligent adaptive backstepping control for MIMO uncertain non-linear quadrotor helicopter systems:
TL;DR: In this article, an adaptive backstepping control for a MIMO quadrotor helicopter perturbed by unknown parameter uncertainties and external disturbances is proposed, which uses a radial basis function neural network (RBFNN) as a perturbation approximator.
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Dynamic Model and Robust Control of Flexible Link Robot Manipulator
TL;DR: In this article, a robust control based on linear quadratic regulator (LQR) for a flexible link manipulator is presented, where the robust control presented faster settling time and smaller overshoot responses and tracking performances compared with PID controllers.