Networked guaranteed cost control of uncertain systems

This paper is concerned with the problem of state-feedback guaranteed cost controller design for uncertain networked control systems with both network-induced delay and data dropout taken into consideration. First, the sufficient condition for the existence of the networked guaranteed quadratic cost controller is obtained in terms of matrix inequalities by employing the delay-dependent approach and introducing free weighting matrices. Then based on this sufficient condition, the controller design method is deduced in terms of linear matrix inequalities. The solution of the linear matrix inequalities can be used to construct the corresponding guaranteed cost control law. Furthermore the suboptimal networked guaranteed cost controller design method is obtained with cone complementarity linearization algorithm. Finally a numerical example demonstrates the application and effectiveness of the proposed controller design method. The control performance of the traditional guaranteed cost controller and the NCS are compared by simulations.