Design of polynomial fuzzy observer–controller for nonlinear systems with state delay: sum of squares approach

International audienc

Control of Time Delay Polynomial Fuzzy Model Subject to Actuator Saturation

International audienceno abstrac

Adaptive sliding mode control for fuzzy singular systems with time delay and input nonlinearity

International audienc

Stability and Stabilization of Polynomial Fuzzy Systems with Time Delay: New Approach

International audienceno abstrac

Adaptive Fuzzy Observer-Based Fault-Tolerant Control for Takagi–Sugeno Descriptor Nonlinear Systems with Time Delay

International audienc

Local stabilization of Polynomial Fuzzy Model with time delay: SOS approach

International audienc

Adaptive observer-based H∞ FTC for T-S fuzzy systems. Application to cart motion model

International audienc

Learning Observer-based Robust H1 Fault-Tolerant Control for Takagi-Sugeno descriptor systems with time-delay

International audienceThis brief is concerned with the problem of learning observer-based robust H1 fault-tolerant Control (FTC) for Takagi-Sugeno (T-S) fuzzy descriptor systems with time-delay affected by both actuator faults and external disturbances. The proposed observer allows simultaneous estimation of system states and actuator faults. Based on the state estimation and the actuator fault reconstruction, a FTC is designed to maintain the performance of the faulty system. Using the H1 optimization technique, the analysis and design conditions of the fuzzy learning observer-based FTC are provided and then formulated into a set of delay-dependent linear matrix inequalities (LMIs) which can be solved in a single step. An example is finally presented to validate our findings

Delay-Partitioning Approach to State and Sensor/Actuator Fault Estimation for T-S Fuzzy Systems with Time-Delay

International audienceThis brief studies the problem of state and faultestimation for Takagi-Sugeno (T-S) fuzzy systems with time delaysubject to simultaneously sensor/actuator faults and externaldisturbances. By extending the sensor faults as an auxiliary statevector, the original system is transformed into an augmenteddescriptor system. Adaptive Observer is proposed to achieve asimultaneous estimation of descriptor system states, actuator andsensor faults using the constrained H1 norm optimization. Basedon the Lyapunov functional method and delay-partitioning technique,delay-dependent design conditions of the fuzzy observerare derived in terms of linear matrix inequalities (LMIs). Anexample is finally presented to validate our findings