Comparison of model predictive control techniques for active suspension

This paper presents the develop and analysis of four control techniques implemented in an embedded system for an active suspension. The three techniques are based on model predictive control (MPC): The MPC off-line interpolation by piecewise affine systems (PWA), MPC neural network interpolation (NN), generalized model predictive control on-line (GMPC) and state space feedback (SSF). Finally, it is possible to reduce the necessary time to compute the control law with interpolating methods.