A linearization free recursive prediction error method for combined state and parameter estimation for nonlinear systems

被引：0
|
作者：
Zhao, Qi [1 ]
Bohn, Christian [1 ]
机构：
[1] Tech Univ Clausthal, Inst Elect Informat Tech, DE-38678 Clausthal Zellerfeld, Germany
来源：
2013 AMERICAN CONTROL CONFERENCE (ACC) | 2013年
关键词：
UNSCENTED TRANSFORMATION; CALCULUS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A novel method for combined state and parameter estimation is presented. The method is based on the recursive prediction error method for nonlinear system and is able to estimate states and parameters from nonlinear state-space models simultaneously. Moreover, because of the application of the deterministic sampling approach, no model linearization is required. A simple example (real-time parameter estimation for a three-tank system) is included to demonstrate the performance of the algorithm.
引用
收藏
页码：899 / 904
页数：6
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