摘要
针对基于T-S模糊模型的网络控制系统提出了一种卡尔曼滤波器的设计方法.先运用卡尔曼滤波理论给每个子系统设计出子滤波器,然后通过这些子滤波器的模糊融合得出全局滤波器.本文证明此全局滤波器可实现无偏状态估计,并给出了其稳定的条件.最后用仿真实例验证了所提出的卡尔曼滤波器的有效性.
A novel method is presented to design fuzzy Kalman filters for the networked control systems based on T-S fuzzy models. Firstly, a local filter is designed for each subsystem by using Kalman filter theory, and then the global filter is derived by fuzzy blending of the local filters. The global filter is proved to be able to achieve unbiased state estimation, and a sufficient condition for the stability is presented. Finally, the effectiveness of the proposed fuzzy Kalman filter is demonstrated with a simulation example.
出处
《信息与控制》
CSCD
北大核心
2007年第3期257-260,共4页
Information and Control
基金
国家自然科学基金资助项目(60574088
60274014)
关键词
网络控制系统
模糊模型
卡尔曼滤波
稳定性
networked control system （NCS）
fuzzy model
Kalman filter
stability
