Zonotoptic Fault Estimation for Discrete-Time LPV Systems with Bounded Parametric Uncertainty

Document Type

Article

Publication Date

2-1-2020

Abstract

This paper presents a novel interval fault estimation approach by using zonotope technique for discrete-Time linear parameter-varying systems in the presence of bounded parametric uncertainties, measured perturbation, and system disturbance. First, an augmented descriptor system is generated by using augmentation technique. Thus, the problem of interval fault estimation is transformed into the interval augmented state estimation. Then, an outer approximation of the new augmented state estimation domain is computed by using zonotope method. A zonotope should be consistent with the given outputs, perturbation, disturbance, and parametric uncertainties. Besides, it is minimized at each sampled time via an analytic formulation. Finally, a vehicle lateral dynamic nonlinear model is utilized to show the feasibility and effectiveness of the proposed zonotopic fault estimation technique.

Identifier

85079340945 (Scopus)

Publication Title

IEEE Transactions on Intelligent Transportation Systems

External Full Text Location

https://doi.org/10.1109/TITS.2019.2898853

e-ISSN

15580016

ISSN

15249050

First Page

690

Last Page

700

Issue

2

Volume

21

Grant

51575034

Fund Ref

National Natural Science Foundation of China

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