Quantized H<inf>∞</inf> state estimation for networked control systems: A hybrid-triggered method

Abstract

This paper is concerned with the state estimation problem for hybrid-triggered networked control systems (NCSs) with stochastic nonlinearity and quantization. In order to establish a higher utilization of the network resources, a hybrid-triggered transmission scheme (HTTS) and measurement size reduction scheme are introduced. Firstly, the HTTS is presented such that the signal can be transmitted according to the law, and the measurement size reduction scheme, i.e., the quantization is applied. Then, considering the effect of HTTS and quantization, the original NCSs model is reformulated as a new hybrid-triggered state estimation systems with communication delay. By using Lyapunov functional method and linear matrix inequality technique, sufficient conditions for system stability with a prescribed H œ performance level are established, and the design of state estimator and hybrid trigger parameters can be obtained. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.