Sentence examples for fuzzy suspension from inspiring English sources

The parallel-distributed compensation (PDC) scheme is deployed to derive a fault-tolerant fuzzy controller for the T-S fuzzy suspension model.

It should be noted that in spite of numerous publications in the domain "Ride comfort", there are few reports about industrial variants of fuzzy suspension controllers.

The earliest variants of fuzzy architecture of active suspension controllers were proposed by Yester and McFall [64], and Lin and Lu [65].

The numerical results show that the active suspension, with Fuzzy-PID control strategy in which control rules are optimized by improved cultural algorithm, can significantly suppress the bodywork vertical vibration acceleration, and the ride comfort is improved.

To eliminate this problem, this study developed a grey-prediction self-organizing fuzzy controller (GPSOFC) for active suspension systems.

This paper presents a T S model-based fuzzy controller design approach for electromagnetic suspension systems.

This paper demonstrated in detail how to help the PSO with Q-learning cooperation method to search efficiently the optimal fuzzy-PID controller parameters of a suspension system.

The Takagi-Sugeno (T-S) fuzzy model is used to model this suspension with possible sprung mass variation.

The GPSOFC introduces a grey-prediction algorithm into an SOFC, in order to pre-correct its fuzzy rules for the control of active suspension systems.

The advantages of the proposed controller are illustrated by comparing the performance of the improved optimal SM control, the fuzzy logical SM control, and the passive suspension.

For this purpose, using a full-vehicle model, with eight degrees of freedom, two separate fuzzy controllers are designed for front and rear suspensions.