An information theoretic approach for design MIMO networked control systems

Abstract

This paper presents a control system design strategy for multi-input and multi-output (MIMO) networked control systems with random delays. The performance index of the control systems is constructed by entropies of tracking error which can be estimated by Modha's density estimator via multi-layer perceptron (MLP). Finally, a simulation example is given to illustrate the efficiency and feasibility of the proposed approach. © 2010 Springer-Verlag Berlin Heidelberg.