Chokri Rekik - researchr alias

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Viewing Publication 1 - 30 from 30

2022

Control points searching algorithm for multiple mobile robotsImen Hassani, Imen Maalej, Chokri Rekik. ijmic, 41(1/2):120-132, 2022. [doi]

2020

Gap identification strategy for mobile robot navigation in static and dynamic environmentsDorra Ayedi, Maïssa Boujelben 0002, Chokri Rekik. ijmic, 35(1):40-50, 2020. [doi]

2019

Method of gap combined with fuzzy logic controller designed for mobile robot navigationDorra Ayedi, Maïssa Boujelben 0002, Chokri Rekik. IEEEssd 2019: 732-735 [doi]

Mobile robot navigation based on tangent circle algorithmFaten Cherni, Chokri Rekik, Nabil Derbel. ijcat, 59(1):31-42, 2019. [doi]

2018

2017

Fuzzy logic controller for mobile robot navigation to avoid dynamic and static obstaclesMaïssa Boujelben 0002, Dorra Ayedi, Chokri Rekik, Nabil Derbel. IEEEssd 2017: 293-298 [doi]

Interv al type-2 TSK fuzzy approach for autonomous mobile robot control in presence of uncertaintiesDorra Ayedi, Maïssa Boujelben 0002, Chokri Rekik. IEEEssd 2017: 280-286 [doi]

A reactive approach for mobile robot navigation in static and dynamic environment using fuzzy logic controlMaissa Boujelben, Chokri Rekik, Nabil Derbel. ijmic, 27(4):293-302, 2017. [doi]

Autonomous mobile robot navigation based on an integrated environment representation designed in dynamic environmentsFaten Cherni, Maissa Boujelben, Lotfi Jaiem, Yassine Bouteraa, Chokri Rekik, Nabil Derbel. ijaac, 11(1):35-53, 2017. [doi]

State and fault estimation based on interval type-2 fuzzy inference system optimised by genetic algorithmsImen Maalej, Donia Ben Halima Abid, Chokri Rekik. ijcat, 55(1):22-29, 2017. [doi]

Fault tolerant trajectory tracking control design for interval-type-2 Takagi-Sugeno fuzzy logic systemImen Maalej, Chokri Rekik, Donia Ben Halima Abid. ijmic, 27(3):230-242, 2017. [doi]

2016

2015

A Multi-Agent Architecture with Hierarchical fuzzy controller for a Mobile robotMaissa Boujelben, Chokri Rekik, Nabil Derbel. ijra, 30(3), 2015. [doi]

A local obstacle avoidance control law for mobile robot navigation based on Beam Curvature MethodFaten Cherni, Yassine Boutereaa, Chokri Rekik, Nabil Derbel. IEEEssd 2015: 1-5 [doi]

Fuzzy Kalman observer for fault detection in nonlinear discrete systems based on type-2 fuzzy logicImen Maalej, Donia Ben Halima Abid, Chokri Rekik. ijaac, 9(4):261-282, 2015. [doi]

2014

Fuzzy augmented state kalman observer for fault and state estimationImen Maalej, Donia Ben Halima Abid, Chokri Rekik, Nabil Derbel. IEEEssd 2014: 1-5 [doi]

Interval type-2 Takagi-Sugeno-Kang fuzzy logic approach for three-tank system modelingImen Maalej, Chokri Rekik, Donia Ben Halima Abid, Nabil Derbel. visalg 2014: 144-149 [doi]

2013

Hierarchical fuzzy controller to avoid mobile obstacle for a mobile robotMaïssa Boujelben 0002, Chokri Rekik, Nabil Derbel. IEEEssd 2013: 1-8 [doi]

2011

Hierarchical control for discrete large-scale complex systems by intelligent controllersNajla Krichen Masmoudi, Chokri Rekik, Mohamed Djemel, Nabil Derbel. ijcat, 42(1):1-12, 2011. [doi]

Two coupled neural-networks-based solution of the Hamilton-Jacobi-Bellman equationNajla Krichen Masmoudi, Chokri Rekik, Mohamed Djemel, Nabil Derbel. asc, 11(3):2946-2963, 2011. [doi]

2010

Optimised fuzzy logic controller for a mobile robot navigationM. Jallouli, Chokri Rekik, Mohamed Chtourou, Nabil Derbel. ijmic, 9(4):400-408, 2010. [doi]

2008

A Discussion on the Optimal Control of a robot manipulator by a Hybrid Genetic-Fuzzy controllerChokri Rekik, Mohamed Djemel, Nabil Derbel. ijra, 23(3), 2008. [doi]

2007

On the suboptimal solution for large scale non-linear control systems using neural networksChokri Rekik, Mohamed Djemel, Nabil Derbel. ijmic, 2(4):283-290, 2007. [doi]

2002

Design of optimal fuzzy logic controller with genetic algorithmsChokri Rekik, Mohamed Djemel, Nabil Derbel, Adel M. Alimi. IEEEisic 2002: 98-103 [doi]

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