A neural network classifier for optimum design of active suspension systems

摘要

In this paper a neural network classifier for an active suspension system is designed to cope with different road profiles. The active suspension nonlinear neural network is optimized for each discrete road profile, while the neural networkclassifier automatically identifies the road profile and switches to the appropriate control law. The above technique is seen to be necessary for optimizing the performance and energy requirements of active control systems.