期刊
NEUROCOMPUTING
卷 193, 期 -, 页码 14-19出版社
ELSEVIER
DOI: 10.1016/j.neucom.2016.01.058
关键词
Dynamic quantizer; Random nonlinearities; Sensor saturation; NCSs; H-infinity filter
资金
- Funds of National Science of China [61104106, 61473195]
- Liaoning BaiQianWan Talents Program
This paper investigates the quantized filtering problem for networked control systems (NCSs) with multiple influencing factors such as randomly occurring nonlinearities and sensor saturation. The dynamic quantization strategy is employed, and stochastic variable is considered satisfying the Bernoulli distribution. The quantized H-infinity filter is designed to ensure the exponentially mean-square stable of the system and to guarantee a prescribed H-infinity disturbance attenuation level. Finally, a simulation example is given to demonstrate the effectiveness of the filter design method. (C) 2016 Elsevier B.V. All rights reserved.
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