2016 |
Gasmi, Noussaiba; Thabet, Assem; Boutayeb, Mohamed; Aoun, Mohamed Observers for nonlinear lipschitz discrete time systems with extension to H∞ filtering design Conférence 2016, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: Asymptotic convergence, Differential mean value theorems, Digital control systems, Discrete – time systems, Discrete time control systems, Functions, Linear parameter varying systems, Mathematical transformations, Non-linear error, Nonlinear discrete-time systems, Nonlinear functions, Simulation example @conference{Gasmi2016364b,This note focuses on state observer design for a general class of nonlinear discrete-time systems. The main contribution lies in the use of the differential mean value theorem (DMVT) to transform the nonlinear error dynamics into a linear parameter varying (LPV) system. This has the advantage of introducing a general condition on the non linear functions. An extension to H∞ filtering design is obtained for systems with linear and nonlinear outputs. LMI conditions are presented to ensure asymptotic convergence. Then performances and accuracy of the results are illustrated through simulation examples. © 2016 IEEE. |
Gasmi, Noussaiba; Thabet, Assem; Boutayeb, Mohamed; Aoun, Mohamed Observers for nonlinear lipschitz discrete time systems with extension to H∞ filtering design Conférence 2016, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: Asymptotic convergence, Differential mean value theorems, Digital control systems, Discrete – time systems, Discrete time control systems, Functions, Linear parameter varying systems, Mathematical transformations, Non-linear error, Nonlinear discrete-time systems, Nonlinear functions, Simulation example @conference{Gasmi2016364,This note focuses on state observer design for a general class of nonlinear discrete-time systems. The main contribution lies in the use of the differential mean value theorem (DMVT) to transform the nonlinear error dynamics into a linear parameter varying (LPV) system. This has the advantage of introducing a general condition on the non linear functions. An extension to H∞ filtering design is obtained for systems with linear and nonlinear outputs. LMI conditions are presented to ensure asymptotic convergence. Then performances and accuracy of the results are illustrated through simulation examples. © 2016 IEEE. |
2014 |
Saidi, B.; Amairi, M.; Najar, S.; Aoun, M. Min-Max optimization-based design of fractional PID controller Conférence 2014, (Cited by: 3). Résumé | Liens | BibTeX | Étiquettes: Algorithms, Automation, Calculations, Constrained optimization, Convergence of numerical methods, Design method, Disturbance rejection, Electric control equipment, Fractional calculus, Fractional pid controllers, Load disturbance rejection capabilities, Min-max optimization, Numerical methods, Optimization, Proportional control systems, Robustness (control systems), Simulation example, Stability margins, Three term control systems @conference{Saidi2014468b,This paper deals with a new design method of a fractional PID controller. The proposed method is based on a numerical constrained Min-Max optimization algorithm. Its main objective is the improvement of the transient response, the stability margin, the robustness and the load disturbance rejection capability. All these performances are tested through a simulation example. © 2014 IEEE. |
Publications
2016 |
Observers for nonlinear lipschitz discrete time systems with extension to H∞ filtering design Conférence 2016, (Cited by: 1). |
Observers for nonlinear lipschitz discrete time systems with extension to H∞ filtering design Conférence 2016, (Cited by: 1). |
2014 |
Min-Max optimization-based design of fractional PID controller Conférence 2014, (Cited by: 3). |