CAJ | 학술논문

针对无线传感器网络（ WSNs）在测量数据丢包不确定性情况下的分布式H∞滤波问题，提出一种基于传感器丢包率不确定性预测的分布式H∞滤波算法。通过设计一种线性全阶滤波器，使得滤波误差能够收敛在均方渐近为零，同时抑制外界的干扰造成的H∞滤波衰减。根据滤波参数符合伯努利分布随机分布的原理，利用Lyapunov函数的方法，通过寻找最佳的滤波参数来保证在丢包率不确定的情况下对真值预测的随机稳定性。实验仿真结果表明：当观测数据存在不确定性丢包时，该滤波算法能发挥有效的滤波效果。
침대무선전감기망락（ WSNs）재측량수거주포불학정성정황하적분포식H∞려파문제，제출일충기우전감기주포솔불학정성예측적분포식H∞려파산법。통과설계일충선성전계려파기，사득려파오차능구수렴재균방점근위령，동시억제외계적간우조성적H∞려파쇠감。근거려파삼수부합백노리분포수궤분포적원리，이용Lyapunov함수적방법，통과심조최가적려파삼수래보증재주포솔불학정적정황하대진치예측적수궤은정성。실험방진결과표명：당관측수거존재불학정성주포시，해려파산법능발휘유효적려파효과。
Aiming at distributed H∞ filtering problem of measurement data loss in case of uncertainty in wireless sensor networks( WSNs ),a distributed H-infinity filtering algorithm based on sensor uncertainty prediction of packet loss rate is proposed. By designing a linear full-order filter,so that filtering error can converge in mean square asymptotically to zero,while suppressing H∞ filtering attenuation caused by external interference. According to Bernoulli distribution filtering parameters consistent with the principles of random distribution,by searching the optimal filtering parameters to ensure random stability in the case of packet loss rate uncertainty of true value prediction,using the Lyapunov function. Simulation results show that this filtering algorithm can play an effective filtering effect if there is uncertainty observational data loss.