控制理论与应用2025，Vol.42Issue(10)：1999-2009,11.DOI:10.7641/CTA.2024.30518
模型不确定和噪声互相关下的分布式容积平滑变结构融合算法
Distributed cubature smooth variable structure fusion algorithm with model uncertainties and cross-correlation noise
摘要
Abstract
The state estimation for multi-sensor nonlinear systems with model parameters uncertainty and correlated noise is considered.Firstly,a new cubature smooth variable structure filter with model uncertainty and correlation noise is proposed.Secondly,a general cross-covariance framework of any local estimators is derived for multi-sensor systems with correlated noise,and the nonlinear integral is calculated by Cubature rule.Then,based on matrix weighting,the distributed Cubature smooth variable structure fusion algorithm is proposed for multi-sensor nonlinear systems with model parameters uncertainty and correlation noise.Finally,the simulation results show that the proposed algorithms can effectively overcome the interference of model parameters uncertainties and correlation noise,and also have higher estimation accuracy.关键词
平滑变结构滤波/模型参数不确定/互相关噪声/分布式融合/系统辨识与建模Key words
smooth variable structure filter/model parameters uncertainties/cross-correlation noise/distributed fusion/system identification and modelling引用本文复制引用
焦玉召,牛健雄,赵红梅,娄泰山,赵良玉,丁国强,孔汉..模型不确定和噪声互相关下的分布式容积平滑变结构融合算法[J].控制理论与应用,2025,42(10):1999-2009,11.基金项目
河南省自然科学基金项目(242300421716,232300420418),河南省重点专项项目(241111222900),河南省科技攻关项目(242102220044,242102210034)资助.Supported by the Natural Science Foundation of Henan Province(242300421716,232300420418),the Key Research and Development Program of Henan Province(241111222900)and the Key Science and Technology Program of Henan Province(242102220044,242102210034). （242300421716,232300420418）
