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This paper describes a method of Sensor Fault Detection, Isolation (FDI) and fault-tolerant control (FTC) architecture for vehicle lateral dynamics represented by the Takagi-Sugeno (TS) fuzzy model. Using the LMI formulation, the TS fuzzy model of the vehicle nonlinear dynamics is used to design an observer based controller, a method based on observer bank is then investigated for detection and isolation...
This paper presents Fault-Tolerant Control (FTC) architecture for vehicle lateral dynamics described by Takagi-Sugeno (TS) fuzzy model with parametric uncertainties and sensor faults. Using the LMI formulation, the T-S uncertain fuzzy model of vehicle dynamics is used to design an output feedback observer-based controller, a method based on observer bank is then investigated for detection, isolation...
This paper presents a robust method for estimation the lateral velocity of vehicle. The proposed observer describes a simple structure that contains a sliding mode term which turns out to be robust against output noises and parameters variations as well as sustained disturbances The given nonlinear model of the vehicle is then represented by an uncertain Takagi-Sugeno fuzzy model when the road adhesion...
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