Publications

@conference{Dabbaghi2023b,

title = {Estimating and enlarging the domain of attraction for a nonlinear system with input saturation},

author = {Boudour Dabbaghi and Faical Hamidi and Houssem Jerbi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182924575\&doi=10.1109%2fIW_MSS59200.2023.10368596\&partnerID=40\&md5=672e47539c960bce9ba5743f75dc5c50},

doi = {10.1109/IW_MSS59200.2023.10368596},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

abstract = {This paper focuses on the stabilization problem of a nonlinear system subject to actuator saturation. Such that the results are based on the differential algebraic representation and use of a convex hull description subject to the saturation effects. The contribution of this work is to estimate enlarging domain of attraction. Therefore, for find the largess domain of attraction, the block matrix-variable will be chosen. Numerical examples are provided to illustrate the efficiency of this new approach. © 2023 IEEE.},

keywords = {Actuator saturations, Algebra, Algebraic representations, Computational geometry, Convex hull, Differential algebraic, Differential algebraic representation, Domain of attraction, Input saturation, Nonlinear, Nonlinear systems, Stabilization problems},

pubstate = {published},

tppubtype = {conference}

}

@conference{Dabbaghi2023,

title = {Estimating and enlarging the domain of attraction for a nonlinear system with input saturation},

author = {Boudour Dabbaghi and Faical Hamidi and Houssem Jerbi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182924575\&doi=10.1109%2fIW_MSS59200.2023.10368596\&partnerID=40\&md5=672e47539c960bce9ba5743f75dc5c50},

doi = {10.1109/IW_MSS59200.2023.10368596},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

abstract = {This paper focuses on the stabilization problem of a nonlinear system subject to actuator saturation. Such that the results are based on the differential algebraic representation and use of a convex hull description subject to the saturation effects. The contribution of this work is to estimate enlarging domain of attraction. Therefore, for find the largess domain of attraction, the block matrix-variable will be chosen. Numerical examples are provided to illustrate the efficiency of this new approach. © 2023 IEEE.},

keywords = {Actuator saturations, Algebra, Algebraic representations, Computational geometry, Convex hull, Differential algebraic, Differential algebraic representation, Domain of attraction, Input saturation, Nonlinear, Nonlinear systems, Stabilization problems},

pubstate = {published},

tppubtype = {conference}

}

@conference{Yakoub20221003b,

title = {Bias Recursive Least Squares Method for Fractional Order System Identification},

author = {Zaineb Yakoub and Messaoud Amairi and Manel Chetoui and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143798506\&doi=10.1109%2fSSD54932.2022.9955869\&partnerID=40\&md5=33815d9cbb662e9c28d357625582a869},

doi = {10.1109/SSD54932.2022.9955869},

year  = {2022},

date = {2022-01-01},

journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},

pages = {1003 \textendash 1008},

abstract = {This paper mainly studies the modeling and identification problems for fractional order systems. A novel modeling scheme based on an online identification technique is investigated. Firstly, the recursive least squares algorithm is applied to identify the fractional order system. However, if the measurement of the output signal is affected by an additive noise this algorithm is unable to give consistent estimates. Thus, this contribution implements a technique based on the bias compensation principle. The main idea is to eliminate the introduced bias by adding a correction term in the recursive least squares estimates. The results of the simulated example indicate that the proposed estimator provides good accuracy. © 2022 IEEE.},

note = {Cited by: 0},

keywords = {Additive noise, Algebra, Bias compensation, Fractional order, Fractional order differentiation, Fractional-order systems, Identification, Least Square, Least squares approximations, Model problems, Modelling and identifications, Recursive least-squares method, System-identification},

pubstate = {published},

tppubtype = {conference}

}

@conference{Malti2003729b,

title = {H2 norm of fractional differential systems},

author = {Rachid Malti and Mohamed Aoun and Olivier Cois and Alain Oustaloup and Fran\c{c}ois Levron},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-1842634152\&doi=10.1115%2fdetc2003%2fvib-48387\&partnerID=40\&md5=0143c29ff9a0abd0533f228470954b52},

doi = {10.1115/detc2003/vib-48387},

year  = {2003},

date = {2003-01-01},

journal = {Proceedings of the ASME Design Engineering Technical Conference},

volume = {5 A},

pages = {729 \textendash 735},

note = {Cited by: 19},

keywords = {Algebra, Computer simulation, Differential equations, Differentiation (calculus), Explicit systems, Fractional differential systems, Impulse response, Laplace transforms, Mathematical models, Theorem proving, Transfer functions},

pubstate = {published},

tppubtype = {conference}

}

@conference{Malti2003729,

title = {H2 norm of fractional differential systems},

author = {Rachid Malti and Mohamed Aoun and Olivier Cois and Alain Oustaloup and Fran\c{c}ois Levron},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-1842634152\&doi=10.1115%2fdetc2003%2fvib-48387\&partnerID=40\&md5=0143c29ff9a0abd0533f228470954b52},

doi = {10.1115/detc2003/vib-48387},

year  = {2003},

date = {2003-01-01},

journal = {Proceedings of the ASME Design Engineering Technical Conference},

volume = {5 A},

pages = {729 \textendash 735},

note = {Cited by: 19},

keywords = {Algebra, Computer simulation, Differential equations, Differentiation (calculus), Explicit systems, Fractional differential systems, Impulse response, Laplace transforms, Mathematical models, Theorem proving, Transfer functions},

pubstate = {published},

tppubtype = {conference}

}