CAJ | 학술논문

为了提高强耦合随机时滞系统的跟踪性能，设计了加权优化的卡尔曼滤波器。首先，描述了一类强耦合随机时滞系统的数学模型；其次，提出了加权衰减记忆优化的卡尔曼滤波器；最后，进行了仿真。仿真结果表明，加权优化的卡尔曼滤波器的跟踪性能优于常规的卡尔曼滤波器。
위료제고강우합수궤시체계통적근종성능，설계료가권우화적잡이만려파기。수선，묘술료일류강우합수궤시체계통적수학모형；기차，제출료가권쇠감기억우화적잡이만려파기；최후，진행료방진。방진결과표명，가권우화적잡이만려파기적근종성능우우상규적잡이만려파기。
In order to improve the tracking performance of the strong coupling stochastic time delay system,the opti-mized kalman filter by the weighted is designed. Firstly,the mathematical model of a class of the strong coupling stochastic time delay systems is described. Secondly,the optimized kalman filter based on the weighted attenuation memory is proposed. Lastly,the simulation is carried out. The simulation results show that the tracking performance of the optimized kalman filter by the weighted is superior to the convention-al kalman filter.