Modular Design of Adaptive Tracking for a Class of Stochastic Nonlinear Systems with Passive Identifiers

被引：2
|
作者：
Wang, Jun [1 ]
Cai, Tao [2 ]
Kang, Yu [2 ]
Li, Yafeng [2 ]
机构：
[1] Hefei Univ, Hefei 230026, CO, Peoples R China
[2] Univ Sci & Technol, Dept Automat Engn, Hefei, Peoples R China
来源：
PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) | 2009年
关键词：
UNKNOWN COVARIANCE; STABILIZATION;
D O I：
10.1109/CDC.2009.5400737
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a modular design approach of adaptive tracking is proposed for a class of stochastic nonlinear systems with standard Wiener noises and constant unknown parameters. Both the adaptive Backstepping procedure and input-to-state stable(ISS) controller of global stabilization in probability are designed separately to ensure control module can be achieved. According to passive theorems, passive identifier module is designed. Transient performance of the system is estimated by bounds for the error state. The transient performance shows the tracking error is bounded. The hierarchy of modular design technique is concise and resulting controller is more flexible and versatile than the Lyapunov-type-based algorithms.
引用
收藏
页码：7680 / 7685
页数：6
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