Stabilizing multimodel control with state estimation

This paper presents a stabilizing multimodel control law with state estimation for uncertain systems. A pole placement strategy is used to compute the state feedback vector and the observation vector for each model in the base. The multimodel feedback vector and the multimodel observer are then deduced by a fusion using the models valldities. A quadratic stabilization criterion is developed to study the stabilizing feature of the proposed control law. Efficiency and robustness of the method are discussed through the simulation results of a flexible transmission system.