CAJ | 학술논문

提出了用于有界动态随机系统的状态观测器设计方法.首先利用平方根B样条逼近系统的输出概率密度函数来构造残差,同时利用李亚普诺夫函数方法得到观测器增益的自适应调节规律,然后提出了新的对数B样条逼近模型并设计了新的自适应观测器,两个仿真例子表明了方法的有效性.
제출료용우유계동태수궤계통적상태관측기설계방법.수선이용평방근B양조핍근계통적수출개솔밀도함수래구조잔차,동시이용리아보낙부함수방법득도관측기증익적자괄응조절규률,연후제출료신적대수B양조핍근모형병설계료신적자괄응관측기,량개방진례자표명료방법적유효성.
This paper considers the state observation problem for bounded dynamic stochastic systems by using B-spline model to approximate output probability density functions. First, a form of residual signal is considered for the output probability density function using square root B-spline neural network model,and the on-line tuning of the observer gain is obtained using Lyapunov analysis. Then a new logarithm B-spline model is presented and the adaptive observer is designed. Finally, two simulated examples are used to demonstrate the proposed algorithms, and desired results have been obtained.