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Amit Ailon

Researcher at Ben-Gurion University of the Negev

Publications -  111
Citations -  1325

Amit Ailon is an academic researcher from Ben-Gurion University of the Negev. The author has contributed to research in topics: Control theory & Exponential stability. The author has an hindex of 19, co-authored 107 publications receiving 1259 citations. Previous affiliations of Amit Ailon include Gwangju Institute of Science and Technology & Rensselaer Polytechnic Institute.

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An observer-based set-point controller for robot manipulators with flexible joints

TL;DR: In this article, the authors present a globally asymptotically stable controller for point-to-point regulation of robot manipulators with flexible joints that uses only position measurement on the motor side.
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Global regulation of flexible joint robots using approximate differentiation

TL;DR: This paper shows that velocity measurement in Tomei's scheme can be replaced by approximate differentiation preserving global asymptotic stability for all positive values of b and a, and simulations that illustrate this result are presented.
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Simple Tracking Controllers for Autonomous VTOL Aircraft With Bounded Inputs

TL;DR: This note presents simple controllers for achieving asymptotic trajectory (set-point and time-varying) tracking under the conditions of restricted input in vertical takeoff and landing aircraft based on smooth functions that can easily be implemented in real time applications.
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Control Strategies for Driving a Group of Nonholonomic Kinematic Mobile Robots in Formation Along a Time-Parameterized Path

TL;DR: In this article, the flatness property and the concept of virtual vehicles are used to maintain the formation structure during motion along a desired geometric path, and follow a timing law that dominates the rate of advancement of the group and the arrival times to assigned sites.
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Brief On controllability and trajectory tracking of a kinematic vehicle model

TL;DR: This paper presents some further results concerning the issues of controllability and trajectory tracking regarding a front-wheel drive vehicle kinematic model and a simple procedure for computing an open-loop control strategy that transfers the system between given initial and final states.