Input-to-state stable nonlinear filtering for a class of continuous-time delayed nonlinear systems

被引:14
|
作者
Ahn, Choon Ki [1 ]
机构
[1] Korea Univ, Sch Elect Engn, Seoul 136701, South Korea
关键词
input-to-state stability (ISS); robust filtering problem; delayed nonlinear system; linear matrix inequality (LMI); LyapunovKrasovskii stability theory; OUTPUT; STABILITY; DISCRETE; STABILIZATION; OBSERVER; ISS;
D O I
10.1080/00207179.2013.787547
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the input-to-state stable (ISS) nonlinear filtering problem for a class of continuous-time delayed nonlinear systems with external disturbance. A new delay-dependent nonlinear ISS filter is established through available measurements to estimate the states of delayed nonlinear systems, such that the filtering error system is both exponentially and input-to-state stable for any bounded external disturbance. The design of the nonlinear ISS filter for these nonlinear systems is achieved by solving a linear matrix inequality (LMI), which can be easily facilitated by using standard numerical packages. An illustrative example is given to demonstrate the effectiveness of the proposed filter.
引用
收藏
页码:1179 / 1185
页数:7
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