An extended nonlinear state predictor for a class of nonlinear time delay systems

An extended nonlinear state predictor for a class of

nonlinear time delay systems

WANG Dong;ZHOU Donghua ;JIN Yihui

【期刊名称】《自然科学进展（英文版）》 【年(卷),期】2004(014)002

【摘要】An extended nonlinear state predictor (ENSP) for a class of nonlinear systems with input time delay is proposed. Based on the extended Kalman filter (EKF), the ENSP first estimates the current states according to the previous estimations and estimation errors, next calculates the future state values via the system model, and then adjusts the values based on the current errors. After a state predictive algorithm for a class of linear systems is presented, it is extended to a class of nonlinear time delay systems and the detailed ENSP algorithm is further proposed. Finally, computer simulations with the nonlinear example are presented, which demonstrates that the proposed ENSP can effectively and accurately predict the future states for a class of nonlinear time-delay systems no matter whether the state variables change quickly or slowly.

【总页数】7页(145-151) 【关键词】nonlinear filter;nonlinear state predictor

【作者】WANG Dong;ZHOU Donghua ;JIN Yihui

systems;time

delay;extended

Kalman