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This paper presents a robust sensor fault diagnosis and compensation scheme for satellite attitude dynamics with perturbations. The satellite attitude dynamics is linearized at the operating points with T-S fuzzy model. By introducing sensor fault as an auxiliary state vector, an augmented descriptor system is constructed. Fault diagnosis and estimation is achieved with a robust fuzzy descriptor observer...
This paper first develops the six degrees of freedom (DOF) nonlinear dynamic model of near space vehicle (NSV) in re-entry trajectory and analyzes its model characteristics and aerodynamic parameters, then the linear model is obtained using trim technique. The problem of fault estimation based on adaptive fault diagnosis observer is studied, which can achieve accurate estimation of fault and give...
In this paper, the global robust asymptotic stability problem is considered for stochastic cellular neural networks with time delays and parameter uncertainties. The aim of this paper is to establish easily verifiable conditions under which the stochastic cellular neural networks is globally robustly asymptotically stable in the mean square for all admissible parameter uncertainties. Base on Lyapunov-...
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