Publications

@conference{Walid2018138b,

title = {Robust internal model controller for quadrotor UAV},

author = {Mizouri Walid and Najar Slaheddine and Aoun Mohamed and Bouabdallah Lamjed},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050009476\&doi=10.1109%2fASET.2018.8379848\&partnerID=40\&md5=d90913214fa716cddebe22721d3a1de3},

doi = {10.1109/ASET.2018.8379848},

year  = {2018},

date = {2018-01-01},

journal = {2018 International Conference on Advanced Systems and Electric Technologies, IC_ASET 2018},

pages = {138 \textendash 143},

abstract = {Modeling and control of Unmanned Aerial Vehicle (UAV) such quadrotor becomes more attractive to researchers due to the UAV applications and technological advancements. Therefore the quadrotor system can probably affected by model uncertainties, noises and external disturbances. In this work, a quadrotor dynamic model is presented and a new control approach based on Internal Model Control strategy is designed to stabilize the 6 DoF quadrotor UAV under model uncertainties, noises and external disturbances, provided by numerical simulations. © 2018 IEEE.},

note = {Cited by: 4},

keywords = {Aircraft control, Antennas, Disturbance, External disturbances, Internal model control, Internal model controllers, Model predictive control, Models, Quad-rotor UAV, Quadrotor dynamic modeling, Technological advancement, Uncertainty, Uncertainty analysis, Unmanned aerial vehicles (UAV)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Walid2018138,

title = {Robust internal model controller for quadrotor UAV},

author = {Mizouri Walid and Najar Slaheddine and Aoun Mohamed and Bouabdallah Lamjed},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050009476\&doi=10.1109%2fASET.2018.8379848\&partnerID=40\&md5=d90913214fa716cddebe22721d3a1de3},

doi = {10.1109/ASET.2018.8379848},

year  = {2018},

date = {2018-01-01},

journal = {2018 International Conference on Advanced Systems and Electric Technologies, IC_ASET 2018},

pages = {138 \textendash 143},

abstract = {Modeling and control of Unmanned Aerial Vehicle (UAV) such quadrotor becomes more attractive to researchers due to the UAV applications and technological advancements. Therefore the quadrotor system can probably affected by model uncertainties, noises and external disturbances. In this work, a quadrotor dynamic model is presented and a new control approach based on Internal Model Control strategy is designed to stabilize the 6 DoF quadrotor UAV under model uncertainties, noises and external disturbances, provided by numerical simulations. © 2018 IEEE.},

note = {Cited by: 4},

keywords = {Aircraft control, Antennas, Disturbance, External disturbances, Internal model control, Internal model controllers, Model predictive control, Models, Quad-rotor UAV, Quadrotor dynamic modeling, Technological advancement, Uncertainty, Uncertainty analysis, Unmanned aerial vehicles (UAV)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Achnib201734b,

title = {A comparative study of the output and the state feedback predictive control},

author = {Asma Achnib and Manel Chetoui and Patrick Lanusse and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024379902\&doi=10.1109%2fSTA.2016.7952029\&partnerID=40\&md5=779b88cd1e20f8d1c6c3614eb10555e4},

doi = {10.1109/STA.2016.7952029},

year  = {2017},

date = {2017-01-01},

journal = {2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2016 - Proceedings},

pages = {34 \textendash 41},

abstract = {In this paper the effectiveness of predictive control in the problems of tracking and control is studied. The principle and the implementation of the algorithm of this control are presented. In this work, two approaches using different system models are developed: The output feedback and the state feedback predictive control. The performances and the robustness of both approaches are assessed with the help of two examples. © 2016 IEEE.},

note = {Cited by: 1},

keywords = {Automation, Comparative studies, Feedback, Model predictive control, Output feedback, Predictive control, Process control, Robustness (control systems), State feedback, State feedback predictive control, System models},

pubstate = {published},

tppubtype = {conference}

}

@conference{Achnib201734,

title = {A comparative study of the output and the state feedback predictive control},

author = {Asma Achnib and Manel Chetoui and Patrick Lanusse and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024379902\&doi=10.1109%2fSTA.2016.7952029\&partnerID=40\&md5=779b88cd1e20f8d1c6c3614eb10555e4},

doi = {10.1109/STA.2016.7952029},

year  = {2017},

date = {2017-01-01},

journal = {2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2016 - Proceedings},

pages = {34 \textendash 41},

abstract = {In this paper the effectiveness of predictive control in the problems of tracking and control is studied. The principle and the implementation of the algorithm of this control are presented. In this work, two approaches using different system models are developed: The output feedback and the state feedback predictive control. The performances and the robustness of both approaches are assessed with the help of two examples. © 2016 IEEE.},

note = {Cited by: 1},

keywords = {Automation, Comparative studies, Feedback, Model predictive control, Output feedback, Predictive control, Process control, Robustness (control systems), State feedback, State feedback predictive control, System models},

pubstate = {published},

tppubtype = {conference}

}