Fuzzy Finite Memory State Estimation for Electro-Hydraulic Active Suspension Systems

Fuzzy Finite Memory State Estimation for Electro-Hydraulic Active Suspension Systems

This paper presents a novel nonlinear estimator called the fuzzy finite memory (FFM) state estimator for electro-hydraulic active suspension systems, based on fuzzy techniques and finite impulse response. The Takagi-Sugeno fuzzy model is introduced to effectively describe highly nonlinear suspension...

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Bibliographic Details
Main Authors: Hyun Duck Choi, Sung Hyun You
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Half-vehicle suspension system
state estimation
finite memory structure
electro-hydraulic actuator
nonlinear systems
T-S fuzzy model
Online Access:https://ieeexplore.ieee.org/document/9481081/

Internet

https://ieeexplore.ieee.org/document/9481081/

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