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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...
This paper is concerned with the quantized Hinfin filtering problem for discrete-time systems. The quantizer considered here is dynamic and composed of a dynamic scaling and a static quantizer. Motivated by practical transmission channels requirements, the static quantizer ranges are fully considered in this paper. A quantized Hinfin filter design strategy is proposed with taking quantizer errors...
This paper studies the quantized H∞ filtering problem for continuous-time systems with a type of dynamic quantizers, which are conjuncted with static quantizers via dynamic scalings. The static quantizer ranges are fully considered here for practical transmission channels requirements. A quantized H∞ filter design strategy is proposed, where a convex optimization method is developed to minimize static...
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