Showing papers by "Zhiwei Gao published in 2006"
TL;DR: New descriptor observer design approaches are presented for multivariable systems with measurement noises that allow not only to decouple the measurement noise in any forms completely, but also obtain accurate estimations of both system states and measurement noises.
237 citations
TL;DR: The existence and convergence of the nonlinear descriptor estimator is proven, and the asymptotic estimates of the descriptor nonlinear system state and the output noise are obtained at the same time.
Abstract: For descriptor systems with measurement output noises (input disturbances may exist at the same time), a new descriptor estimator technique is developed. The necessary and sufficient condition for the existence of the present estimator is derived, and a systematic design approach is addressed. The effect of uncertainties is decoupled completely, and the asymptotic estimates of the descriptor system state and the output noise are obtained simultaneously. Furthermore, a normal state/disturbance estimator is also given. For a class of nonlinear descriptor systems with both output noises and input uncertainties, a nonlinear descriptor estimator is derived by using the proposed design approach, together with the linear matrix inequality technique. The existence and convergence of the nonlinear descriptor estimator is proven. The asymptotic estimates of the descriptor nonlinear system state and the output noise are obtained at the same time. The present estimators are applied to the sensor fault diagnosis, and hence the sensor fault can be estimated asymptotically. Finally, two numerical examples are included to illustrate the proposed design procedures and applications.
170 citations
TL;DR: In this paper, robust fault detection for continuous-time Takagi-Sugeno (TS) fuzzy systems with parametric uncertainties and process disturbances is studied. But the authors focus on fault detection in the case of the residual signal.
8 citations
TL;DR: A fuzzy observer-based approach is presented to detect the fault occurred in the dynamic system modelled by Takagi-Sugeno fuzzy model and a sufficient condition to solvability of the formulated problem is established in terms of Linear Matrix Inequalities.
8 citations
TL;DR: In this paper, a robust state-space observer is designed to simultaneously estimate the system state, the finitely times derivatives of the fault, and the fault signal at the same time.
5 citations
01 Jan 2006
TL;DR: A new state-space realization of Bezout factorization composed of all proper stable transfer functions is established and the resulting parametrization of all causal properly stabilizing controllers is characterized.
Abstract: Based on reduced-order causal observer-based controllers for singular systems, a new state-space realization of Bezout factorization composed of all proper stable transfer
functions is established. The resulting parametrization of all causal properly stabilizing controllers is characterized. The relationships among the Bezout factorization in the present paper and the previous results are also discussed, which give explicit formulae of computing one from another. Keywords.
2 citations
TL;DR: In this article, a robust state-space observer is proposed to simultaneously estimate the descriptor system states, the faults, the finite times derivatives of the faults and attenuate the input disturbances.
2 citations
01 Dec 2006
TL;DR: A fault-tolerant observer-based controller is proposed, which makes the system work well not matter whether sensor faults occur or not, and in this design, descriptor system approach and linear matrix inequality technique are adopted.
Abstract: For systems with multiple time delays, a novel state and sensor noise observer is designed to estimate system states and sensor noises at the same time. In this design, descriptor system approach and linear matrix inequality technique are adopted. Unbounded sensor faults will make the system fail unavoidably, it is indispensable to derive a reliable control scheme against sensor failures. Using the estimated state and sensor fault, a fault-tolerant observer-based controller is proposed, which makes the system work well not matter whether sensor faults occur or not.
1 citations