基于模式识别的状态观测器和滤波器

Pattern Recognition Based Observers and Filters

本文提出了一种基于模式识别的状态观测器和滤波器,用模式识别技术描述系统动态特性,设计状态观测器和滤波器的结构,并选取增益矩阵,仿真研究获得了满意的结果。该(?)法摆脱了以往状态观测器和滤波器所需的数学模型,为在那些难以用传统方法建模的场合实(?)状态观测和滤波提供了可能。

The pattern recognition based observers and filters are developed.The system dynamics are described,the observers and filters structures aredesigned and the gain matrixes are chosen by the pattern recognition technique,which are based on the system measurement data sequences without knowingthe system dynamic models generally being required when using the regularobserving and filtering methods.Simulation results are satisfactory.