摘要
结合鲁棒滤波理论与数据融合技术,基于参数依赖Lyapunov函数,研究了一类多传感器不确定连续系统的鲁棒融合滤波器设计问题。在集中式融合的基础上,探讨了分布式加权融合滤波器的设计方法,通过仿真实验比较了鲁棒融合滤波器的性能。仿真结果表明,利用该分布式加权融合算法,不仅可解决系统模型中存在参数不确定性时的滤波问题,且鲁棒性好和计算量低,可以满足不同精度鲁棒融合滤波器的设计需要,具有较大的灵活性。
In terms of parameter-dependent Lyapunov function, the design problems of robust fusion filters for a class of multi- sensor uncertain systems were dealt with, by means of combining robust filter theory and data fusion technology. On the basis of the design method of the centralized fusion, distributed robust fusion filter was discussed, moreover, the performance of the new filter was illustrated by the simulation. The results show that by using the distributed weight fusion method, it does not only have a better robust performance and lower computational complexity for resolving the filter problems when parameter uncertainties exist in the system model, but also have more flexibility to satisfy the design requirements of the robust fusion filters for multi-sensor systems with different precisions.
出处
《机电工程》
CAS
2008年第4期67-70,共4页
Journal of Mechanical & Electrical Engineering
基金
国家自然科学基金资助项目(60434020)
