A Heuristic Parameter-Dependent Open-Loop Model Predictive Control

For the uncertain linear systems described by parameter varying (LPV) model, a parameter-dependent open-loop model predictive control (MPC) is proposed. The controller applies tree trajectory to generate vertices of uncertainty state predictions. Based on prediction tree, future free moves are parameter-dependent, whose correspond those cost function penalizes deviations all state/input from their steady-state target values. It shown that offset-free property achieved this method. A simulation example given demonstrate effectiveness approach.