More relaxed conditions for model predictive control with guaranteed stability

For the model predictive c ontroller,terminal state satisfying a certain inequality can guarantee the stability but it is somewhat conservative.In this paper,we give a more r elaxed stability condition by considering the effect of the initial state.Based on that we propose an algorithm to guarantee that the closed loop s ystem is asymptotically stable.Finally,the conclusions are verifie d by a simulation.