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In this paper, a high-gain nonlinear observer based fault diagnosis approach is proposed for a general class of nonlinear uncertain systems. The nonlinear system under consideration contains parameter uncertainties as well as Lipschitz-like nonlinearities and may be harmed by time-varying fault. The fault diagnosis algorithm is designed based on a new adaptive estimation method for estimation of the...
Adaptive fuzzy control is used to control a class of unknown nonlinear systems with perturbed dead-zone input in this paper. A new dead-zone actuator model which contains time-varying and perturbed actuation gain is proposed. The dead-zone nonlinearity is treated as a linear term, a nonlinear term and a disturbance-like term. Nonlinearly parameterized fuzzy logic systems are used to approximate the...
This paper deals with the adaptive output control of a class of uncertain nonlinear systems with an unknown non-symmetric dead-zone nonlinearity. The nonlinear systems considered are dominated by a triangular system without zero dynamics satisfying polynomial growth in the unmeasurable states. An adaptive control scheme is developed without constructing the dead-zone inverse. The proposed adaptive...
A class of unknown nonlinear systems subject to uncertain actuator faults and external disturbances will be studied in this paper with the help of fuzzy approximation theory. Using backstepping technique, a novel adaptive fuzzy control approach is proposed to accommodate the uncertain actuator faults during operation and deal with the external disturbances. The considered faults are modeled as both...
This paper studies the problem of designing robust Hinfin filters for linear uncertain systems. The uncertainty parameters are assumed to be time-varying, unknown, but bounded, which appear affinely in the matrices of system models. An adaptive mechanism is introduced to construct novel filters with variable gains, which can reduce the conservativeness of traditional robust Hinfin filters. The proposed...
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