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Reliable Filter Design for Sensor Networks Using Type-2 Fuzzy Framework

机译：使用2型模糊框架的传感器网络可靠滤波器设计

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摘要

This paper studies the problem of reliable filter problem for a category of sensor networks in the framework of interval type-2 fuzzy model. In the filter design, the random link failures, which are caused possibly by missing measurements as well as by probabilistic communication failures, are considered to illustrate more realistic dynamical behaviors of sensor networks. In order to tackle the uncertainties existing in systems, interval type-2 (IT2) fuzzy approach is utilized to establish the model, wherein upper and lower membership functions together with weighting coefficients are employed to express the uncertainties. An distributed IT2 fuzzy filter model is constructed to estimate system states. Using the Lyapunov theory, sufficient conditions have been given to ensure that the filtering error system is mean-square asymptotically stable and satisfies the predefined average performance level. Moreover, the criteria to design the filter parameters are developed through using cone complementary linearization approach. Finally, a practical example is given to validate the proposed method.
机译：在区间2型模糊模型的框架下，研究了一类传感器网络的可靠滤波问题。在滤波器设计中，随机链路故障（可能是由于缺少测量值以及概率性通信故障而引起）被认为是为了说明传感器网络更实际的动态行为。为了解决系统中存在的不确定性，采用区间类型2（IT2）模糊方法建立模型，其中上下隶属度函数和加权系数一起表示不确定性。构建了分布式IT2模糊过滤器模型来估计系统状态。使用李雅普诺夫理论，已经给出了充分的条件以确保滤波误差系统是均方渐近稳定的并且满足预定的平均性能水平。此外，通过使用锥互补线性化方法来开发设计滤波器参数的标准。最后，通过实例验证了该方法的有效性。

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