Hinfinity filtering for networked systems with limited communication

This paper is concerned with the quantized H∞ filtering problem for discrete-time systems subject to limited communication capacity, which includes measurement quantization and random sensor packet losses. By introducing an improved quantized random packet-loss model, the effects of the packet-loss rate and the upper bound of consecutive packet losses and the quantization on the system performance are considered simultaneously. A quantized H∞ filter design strategy with the minimized static quantizer range is designed to guarantee the error system exponentially mean-square stable and also achieve the prescribed H∞ disturbance attenuation level. A numerical example is given to illustrate the effectiveness of the proposed filter design method.