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 for electro-hydraulic active suspension systems, based on techniques and impulse response. The Takagi-Sugeno model is introduced to effectively describe highly systems with actuator dynamics. Compared conventional estimator, which has an infinite structure requires whole data from initial current time, proposed guarantees robustness against external disturbances modeling uncertainty. simulation results verify that developed more robust under uncertainties than existing response estimator.