摘要
对具有时变时滞的非线性动态系统进行时滞估计是系统辨识的一项重要课题。为估计系统的动态特性,采用了一种带外反馈的动态神经网络。如果时滞是时变的,需要研究在线时滞估计机构来跟踪时滞的变化。本文提出了两种分别称之为直接和间接时滞在线估计方法,其中间接法将时滞估计看作非线性优化问题,而直接法则用神经网络构造时滞估计器来跟踪时滞的变化。最后本文给出了仿真的例子。
The time-delay estimation for the nonlinear dynamic system with time-varying time-delay is an important issue for system identification.In order to estimate the dynamics of the process,a dynamic neural network with external recurrent structure is applied to the modeling procedure.In the case where time-delay is time varying,a useful way is to develop on-line time-delay estimation mechanisms to track the time-delay variation.Two schemes respectively called direct as well as indirect time-delay estimators are proposed.The indirect time-delay estimator considers the procedure of time-delay estimation as a nonlinear programming problem.The direct time-delay estimation scheme on the other hand applies a neural network to construct a time-delay estimator to track the time-varying time-delay.Finally,a simulation example is illustrated for the test of the proposed methods.
出处
《测控技术》
CSCD
2003年第9期48-50,共3页
Measurement & Control Technology
基金
国家自然科学基金资助项目(50265001)
广西自然科学基金资助项目(0009005)
国防预研基金资助项目(56.6.7.7)
关键词
时滞
非线性系统
神经网络
估计
time-delay
nonlinear systems
neural networks
estimation
