CAJ | 학술논문

为了提高强耦合时滞系统的跟踪性能，设计了改进型卡尔曼滤波器。首先，描述了一类强耦合时滞系统的数学模型；其次，用指数衰减记忆的改进型卡尔曼滤波器对一类强耦合时滞系统的状态进行了估计。仿真结果表明，改进型卡尔曼滤波器的跟踪性能优于常规的卡尔曼滤波器。
위료제고강우합시체계통적근종성능，설계료개진형잡이만려파기。수선，묘술료일류강우합시체계통적수학모형；기차，용지수쇠감기억적개진형잡이만려파기대일류강우합시체계통적상태진행료고계。방진결과표명，개진형잡이만려파기적근종성능우우상규적잡이만려파기。
AbstractAn improved kalman filter is designed in order to improve the tracking performance of the strong coupling time delay system. A mathematical model of a class of the strong coupling time delay sys-tem is described. Then,the state variables of a class of the strong coupling time delay system are estimated by the improved kalman filter based on the exponent attenuation memory. The simulation results show that the tracking performance of the improved kalman filter is superior to the conventional kalman filter.