Reachable Estimation and Compensation Boundaries for the Large-Scale Interconnected Fuzzy Systems

This study focuses on estimation and compensation on the unknown measurement noises of large-scale systems subject to nonlinear dynamics and interconnections. Interval type-2 T-S fuzzy model is used to describe each nonlinear subsystem. For the sake of attenuating adverse impacts from the unknown me...

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Bibliographic Details
Published inIEEE International Fuzzy Systems conference proceedings pp. 1 - 6
Main Authors Zhong, Zhixiong, Ying, Hao, Huan, Zhijie, Lin, Wenzhong, Wang, Xingyi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2019
Subjects
Attenuation measurement
Fuzzy sets
Large-scale systems
Noise measurement
Nonlinear dynamical systems
Observers
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ISSN1558-4739
DOI10.1109/FUZZ-IEEE.2019.8858843

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Summary:This study focuses on estimation and compensation on the unknown measurement noises of large-scale systems subject to nonlinear dynamics and interconnections. Interval type-2 T-S fuzzy model is used to describe each nonlinear subsystem. For the sake of attenuating adverse impacts from the unknown measurement noises, a combined method of reachable set bounding and estimation-compensation control is proposed. First, we introduce an augmented fuzzy observer that fulfills a simultaneous estimation for the system states and unknown measurement noises, which guarantees that the estimation error is bounded within the ellipsoidal boundary. Then, a fuzzy compensation controller is used to attenuate the impacts from the unknown measurement noises. Finally, simulation results show the effectiveness of our method against the unknown measurement noises.
ISSN:1558-4739
DOI:10.1109/FUZZ-IEEE.2019.8858843