The hydraulic active suspension systems have certain nonlinear and time-varying behaviors. It is difficult to establish an appropriate dynamic model for model-based controller design. Here a novel neural network based sliding mode control is proposed by combining the advantages of the adaptive, radial basis function neural network and sliding mode control strategies to release the model informa...

Automotive is one of the most important industries in world, which lead to a need for continuous improvement vehicles and their internal systems. Suspension systems have been improved better vehicle performance passenger comfort, keeping tire contact with road surface. Active suspensions require optimal control modulate flow energy generate force by implementing active actuators able provide ne...

In this paper, a simple control methodology is proposed to stabilize the position of sprung mass quarter car system. The simplicity structure proposal facilitates application in real systems. Such allows five different continuous sliding-mode controllers be selected by means two similar designs mitigate chattering effect. These robust ensure exponential stability system presence some class non-...