%0 Conference Paper
%1 Gerland2010SysTol
%A Gerland, Patrick
%A Gross, Dominic
%A Schulte, Horst
%A Kroll, Andreas
%B Conference on Control and Fault-Tolerant Systems (SysTol)
%C Nice, France
%D 2010
%E IEEE, 
%K imported
%P 813--818
%T Robust Adaptive Fault Detection Using Global State Information and
	Application to Mobile Working Machines
%X In this paper, an observer-based fault detection approach for a class
	of nonlinear systems is presented, which can be modeled by Takagi-Sugeno
	(TS) fuzzy models. We propose a sliding mode fuzzy observer that
	deals with bounded uncertainties in the plant and allows fault estimation
	based on an equivalent output error injection approach 5. Furthermore
	an adaption scheme based on pattern recognition algorithms is presented.
	It allows to deal with situational uncertainties, which affect the
	system, by adapting the fault sensitivity. An extensive simulation
	of a mobile working machine is used to demonstrate the effectiveness
	of the proposed scheme.