Browsing by Author "Chadli, M."
Now showing 1 - 5 of 5
- Results Per Page
- Sort Options
Item Actuator and sensor faults estimation based on proportional integral observer for TS fuzzy model(Elsevier, 2016) Youssef, T.; Chadli, M.; Karimi, H.R.; Wang, R.This paper presents a novel method to address a Proportional Integral observer design for the actuator and sensor faults estimation based on Takagi–Sugeno fuzzy model with unmeasurable premise variables. The faults are assumed as time-varying signals whose kth time derivatives are bounded. Using Lyapunov stability theory and L2 performance analysis, sufficient design conditions are developed for simultaneous estimation of states and time-varying actuator and sensor faults. The Proportional Integral observer gains are computed by solving the proposed conditions under Linear Matrix Inequalities constraints. A simulation example is provided to illustrate the effectiveness of the proposed approachItem Chaos synchronization based on unknown input proportional multiple-integral fuzzy observer(Hindawi, 2013) Youssef, T.; Chadli, M.; Karimi, R. M.; Zelmat, M.This paper presents an unknown input Proportional Multiple-Integral Observer (PIO) for synchronization of chaotic systems based on Takagi-Sugeno (TS) fuzzy chaotic models subject to unmeasurable decision variables and unknown input. In a secure communication configuration, this unknown input is regarded as a message encoded in the chaotic system and recovered by the proposed PIO. Both states and outputs of the fuzzy chaotic models are subject to polynomial unknown input with kth derivative zero. Using Lyapunov stability theory, sufficient design conditions for synchronization are proposed. The PIO gains matrices are obtained by resolving linear matrix inequalities (LMIs) constraints. Simulation results show through two TS fuzzy chaotic models the validity of the proposed methodItem Design of unknown inputs proportional integral observers for TS fuzzy models(Elsevier, 2014) Youssef, T.; Chadli, M.; Karimi, H.R.; Zelmat, M.Item Observer -based Fault Tolerant Tracking Control for TS Fuzzy Models subject to Actuator faults(Elsevier, 2015) Youssef, T.; Chadli, M.This paper considers the Fault Tolerant Tracking Control (FTTC) problem for Takagi-Sugeno (TS) fuzzy models based on a healthy model reference. A fuzzy Proportional Integral Observer (PIO) is proposed to estimate the faulty states and the time-varying actuator faults which affect the TS fuzzy models with unmeasurable premise variables. The synthesis of the PIO is based on assumption that the faults kth derivatives are bounded. Then, the knowledge derived from the PIO on the faulty states and the actuator faults are used by the designed FTTC law in order to both compensate the effect of these faults and to stabilize the closed loop system subject to unmeasurable premise variables and faults. Based on Lyapunov stability theory and L2 performance, sufficient conditions are developed in terms of linear matrixItem Observer-based fault tolerant tracking control for TS fuzzy models subject to actuator faults(Elsevier, 2015) Youssef, T.; Chadli, M.