2022 |
Jerbi, Houssem; Dabbagui, Boudour; Hamidi, Faical; Aoun, Mohamad; Bouazzi, Yassine; Aoun, Sondess Ben Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Asymptotically stable equilibrium, Basins of attraction, Carleman linearization, Domain of attraction, Iterative methods, Linearization, Lyapunov functions, Lyapunov’s functions, Lypaunov functions, MATLAB, Non-linear modelling, Nonlinear systems, Numerical methods, Numerical techniques, Quadratic lyapunov function, Stability analyze, System stability @conference{Jerbi2022b, Stability analysis of controlled nonlinear systems is a problem of fundamental importance in system engineering. This paper elaborates an explicit numerical technique to maximize a quadratic Lyapunov function for the class of polynomial nonlinear models. Using the computed Lyapunov function an enlarged subsets of the basin of attraction of an asymptotically stable equilibrium can be computed in an iterative analytical way. We mainly use the Carleman linearization technique that converts a nonlinear autonomous system of finite dimension into an equivalent linear infinite dimension one. We implement the sampling technique as a numerical tool allowing the maximization of estimated regions of attraction. An example is given to demonstrate the efficiency of the proposed approach. The numerical study analysis of the designed scheme is led using the Matlab software environment. © 2022 IEEE. |
Jerbi, Houssem; Dabbagui, Boudour; Hamidi, Faical; Aoun, Mohamad; Bouazzi, Yassine; Aoun, Sondess Ben Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Asymptotically stable equilibrium, Basins of attraction, Carleman linearization, Domain of attraction, Iterative methods, Linearization, Lyapunov functions, Lyapunov’s functions, Lypaunov functions, MATLAB, Non-linear modelling, Nonlinear systems, Numerical methods, Numerical techniques, Quadratic lyapunov function, Stability analyze, System stability @conference{Jerbi2022, Stability analysis of controlled nonlinear systems is a problem of fundamental importance in system engineering. This paper elaborates an explicit numerical technique to maximize a quadratic Lyapunov function for the class of polynomial nonlinear models. Using the computed Lyapunov function an enlarged subsets of the basin of attraction of an asymptotically stable equilibrium can be computed in an iterative analytical way. We mainly use the Carleman linearization technique that converts a nonlinear autonomous system of finite dimension into an equivalent linear infinite dimension one. We implement the sampling technique as a numerical tool allowing the maximization of estimated regions of attraction. An example is given to demonstrate the efficiency of the proposed approach. The numerical study analysis of the designed scheme is led using the Matlab software environment. © 2022 IEEE. |
2014 |
Walid, Mizouri; Slaheddine, Najar; Mohamed, Aoun; Lamjed, Bouabdallah Modeling and control of a quadrotor UAV Conférence 2014, (Cited by: 20). Résumé | Liens | BibTeX | Étiquettes: Automation, Communication tools, Lagrange formalism, MATLAB, Modeling and control, Models, PD control, Proportional derivatives, Quad rotors, Technological advances, Trajectories, Unmanned aerial vehicles (UAV), Vehicle to vehicle communications, Vehicles, Vertical take-off and landings @conference{Walid2014343b, In the recent years, the control of Unmanned Aerial Vehicles (UAV) has become one of the most interesting field of research, especially for Vertical Take-Off and Landing vehicles (VTOL), due to the needs to such system, the simplicity of their construction and due to the important technological advances in control boards, sensors, communication tools, energy storage. In this paper, a mathematical model has been developed with Lagrange formalism and a control approach based on Proportional Derivative PD controller has been built and provided with numerical simulation in MATLAB/Simulink. © 2014 IEEE. |
Walid, Mizouri; Slaheddine, Najar; Mohamed, Aoun; Lamjed, Bouabdallah Modeling and control of a quadrotor UAV Conférence 2014, (Cited by: 20). Résumé | Liens | BibTeX | Étiquettes: Automation, Communication tools, Lagrange formalism, MATLAB, Modeling and control, Models, PD control, Proportional derivatives, Quad rotors, Technological advances, Trajectories, Unmanned aerial vehicles (UAV), Vehicle to vehicle communications, Vehicles, Vertical take-off and landings @conference{Walid2014343, In the recent years, the control of Unmanned Aerial Vehicles (UAV) has become one of the most interesting field of research, especially for Vertical Take-Off and Landing vehicles (VTOL), due to the needs to such system, the simplicity of their construction and due to the important technological advances in control boards, sensors, communication tools, energy storage. In this paper, a mathematical model has been developed with Lagrange formalism and a control approach based on Proportional Derivative PD controller has been built and provided with numerical simulation in MATLAB/Simulink. © 2014 IEEE. |
Publications
2022 |
Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). |
Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). |
2014 |
Modeling and control of a quadrotor UAV Conférence 2014, (Cited by: 20). |
Modeling and control of a quadrotor UAV Conférence 2014, (Cited by: 20). |