Filtering For Discrete Fuzzy Stochastic Systems With Sensor Nonlinearities
Filtering For Discrete Fuzzy Stochastic Systems With Sensor Nonlinearities
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DOI：
10.1109/tfuzz.2010.2060203
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发表时间：
2010-10
影响因子：
11.9
通讯作者：
Y. Niu;D. Ho;C. W. Li
中科院分区：
文献类型：
--
作者：
Y. Niu;D. Ho;C. W. Li
研究了具有传感器非线性的离散模糊随机系统的滤波问题。系统存在时变参数不确定性和依赖于状态和外部干扰的随机噪声。对非线性传感器的特性进行分解处理。利用并行分布补偿技术，给出了鲁棒H_滤波器的设计方法。导出了滤波误差系统随机稳定的充分条件，使得滤波器参数可以显式地得到。仿真结果验证了该方法的有效性。
This paper deals with the filtering problem for discrete-time fuzzy stochastic systems with sensor nonlinearities. There exist time-varying parameter uncertainties and random noise depending on state and external-disturbance. The characteristic of nonlinear sensor is handled by a decomposition method. By means of the parallel distributed compensation technique, the design method of the robust H_ filter is presented. Sufficient conditions for the stochastic stability of the filtering error systems are derived such that the filter parameters can be explicitly obtained. Simulation results are given to illustrate the proposed method.