Car Suspension Control By Indirect Adaptive Interval Type -2 Fuzzy Neural Network Control

To control quarter-car systems, a novel indirect adaptive interval type-2 Fuzzy Neural Network (FNN) controller is developed in this paper to achieve both ride comfort and good handling. By incorporating indirect adaptive interval type-2 FNN control approach and sliding mode control, car suspension system regulation performance can be achieved based on Lyapunov stability criterion. The simulation example is given to confirm validity of the proposed design scheme.

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