Trajectory Planning and Tracking of Bilinear Systems Using Orthogonal Functions

International audienc

Trajectory Planning and Tracking of Bilinear Systems Using Orthogonal Functions

International audienc

Multi-objective H_/H-infinity fault detection filter design for T-S fuzzy systems with finite frequency specifications

Abstract not available.A. Chibani, M. Chadli, P. Shi, N. Benhadj Braie

Unknown Input Observer Design for Fuzzy Bilinear System: An LMI Approach

A new method to design a fuzzy bilinear observer FBO with unknown inputs is developed for a class of nonlinear systems. The nonlinear system is modeled as a fuzzy bilinear model FBM . This kind of T-S fuzzy model is especially suitable for a nonlinear system with a bilinear term. The proposed fuzzy bilinear observer subject to unknown inputs is developed to ensure the asymptotic convergence of the error dynamic using the Lyapunov method. The proposed design conditions are given in linear matrix inequality LMI formulation. The paper studies also the problem of fault detection and isolation. An unknown input fuzzy bilinear fault diagnosis observer design is proposed. This work is given for both continuous and discrete cases of fuzzy bilinear models. Illustrative examples are chosen to provide the effectiveness of the given methodology

Unknown Input Observer Design for Fuzzy Bilinear System: An LMI Approach

A new method to design a fuzzy bilinear observer (FBO) with unknown inputs is developed for a class of nonlinear systems. The nonlinear system is modeled as a fuzzy bilinear model (FBM). This kind of T-S fuzzy model is especially suitable for a nonlinear system with a bilinear term. The proposed fuzzy bilinear observer subject to unknown inputs is developed to ensure the asymptotic convergence of the error dynamic using the Lyapunov method. The proposed design conditions are given in linear matrix inequality (LMI) formulation. The paper studies also the problem of fault detection and isolation. An unknown input fuzzy bilinear fault diagnosis observer design is proposed. This work is given for both continuous and discrete cases of fuzzy bilinear models. Illustrative examples are chosen to provide the effectiveness of the given methodology

A Polytopic Proportional Integral Observer Design for Fault Diagnosis

International audienceThis paper deals with the problem of actuators faults detection and estimation for linear parameters variant (LPV) systems described by the polytopic representation. A Polytopic Proportional Integral Observer (PPIO) is designed to detect faults by generation of residuals signals and estimate system states and the applied faults. The (PPIO) gains are obtained by solving a set of linear matrices inequalities (LMIs). Performances of the proposed method are shown through a Van de Vusse reactor