J
Jean-Pierre Kenné
Researcher at École de technologie supérieure
Publications - 155
Citations - 3656
Jean-Pierre Kenné is an academic researcher from École de technologie supérieure. The author has contributed to research in topics: Production planning & Preventive maintenance. The author has an hindex of 32, co-authored 144 publications receiving 3149 citations. Previous affiliations of Jean-Pierre Kenné include Tokyo Institute of Technology & École Normale Supérieure.
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Production planning of a hybrid manufacturing–remanufacturing system under uncertainty within a closed-loop supply chain
TL;DR: The objective of this research is to propose a manufacturing/remanufacturing policy that would minimize the sum of the holding and backlog costs for manufacturing and remanufacturing products.
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Identification and Real-Time Control of an Electrohydraulic Servo System Based on Nonlinear Backstepping
TL;DR: In this paper, the authors proposed a nonlinear backstepping control strategy for real-time control of an electrohydraulic servo system, which is based on the recursive least squares method.
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Development of a whole arm wearable robotic exoskeleton for rehabilitation and to assist upper limb movements
Mohammad Habibur Rahman,M. J. Rahman,O. L. Cristobal,Maarouf Saad,Jean-Pierre Kenné,Philippe Archambault +5 more
TL;DR: Experimental results show that the ETS-MARSE can efficiently perform passive rehabilitation therapy and be used to ease daily upper limb movements and to provide effective rehabilitation therapy to the superior extremity.
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Indirect Adaptive Control of an Electro-Hydraulic Servo System Based on Nonlinear Backstepping
TL;DR: In this paper, the position control of an electro-hydraulic servo system using indirect adaptive backstepping is studied, where the authors show the effectiveness of the proposed approach in terms of guaranteed stability and zero tracking error in the presence of varying parameters.
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Production and preventive maintenance rates control for a manufacturing system: An experimental design approach
Ali Gharbi,Jean-Pierre Kenné +1 more
TL;DR: It is found that the complexity of the experimental design problem remains constant (33 factorial design) when the number of machines increases, and an approximation of the optimal control policy is obtained.