基于新息事件触发的非线性分布式共识状态估计  

Distributed consensus state estimation based on innovation event trigger for nonlinear systems

作　　者：李晓娜 郝钢[1] LI Xiao-Na;HAO Gang(College of Electronic Engineering,Heilongjiang University,Harbin 150080,China)

机构地区：[1]黑龙江大学电子工程学院,哈尔滨150080

出　　处：《黑龙江大学工程学报》2022年第4期69-76,共8页Journal of Engineering of Heilongjiang University

基　　金：国家自然科学基金青年基金项目(61503127)。

摘　　要：针对离散非线性系统,设计了基于新息事件触发和共识机制的分布式共识容积信息卡尔曼滤波算法。当新息触发函数超过给定的阈值时,进行一致性传输,否则使用预报值来代替传输值。加入新息事件触发机制后,改进的分布式共识容积信息卡尔曼滤波算法不仅计算量减少,传输负担较小,而且与现有的改进算法相比,触发率降低。仿真实例验证了该算法的有效性。For discrete-time nonlinear systems,a distributed consensus cubature information Kalman filter algorithm based on innovation event trigger and consensus mechanism is designed.When the innovation trigger function exceeds the given threshold,the consistent transmission is performed,otherwise the predicted value is used instead of the transmission value.After combining the innovation event trigger mechanism,the improved distributed consensus cubature information Kalman filter algorithm not only effectively reduces the calculation amount and transmission burden,but also cuts down the trigger rate compared with the existing improved algorithm.A simulation example verifies the effectiveness of the algorithm.

关 键 词：新息事件触发 容积信息卡尔曼滤波算法 共识机制 分布式共识状态估计 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]