Disturbance attenuation and rejection for systems with unknown nonlinearity and missing measurements via DOBC approach

被引:0
|
作者
Du Tao [1 ]
Guo Xiaoyu [2 ]
Liu Wanquan [1 ,3 ]
机构
[1] North China Univ Technol, Sch Elect & Informat Engn, Beijing 100144, Peoples R China
[2] Beihang Univ, Sch Instrument Sci & Optoelect Engn, Beijing 100191, Peoples R China
[3] Curtin Univ, Dept Comp, Perth, WA 6102, Australia
基金
中国国家自然科学基金;
关键词
disturbance attenuation and rejection; missing measurements; disturbance observer; state estiamtion; UNSCENTED KALMAN FILTER; MARKOVIAN PACKET LOSSES; STOCHASTIC NONLINEARITIES; INTERMITTENT OBSERVATIONS; STABILITY;
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
The problem of disturbance attenuation and rejection for discrete systems with unknown nonlinear and missing measurement is studied in this paper. Here, two types of disturbance are considered. One of them is matched unknown disturbance generated by an exogenous systems, the other belongs to norm-bounded disturbance. The matched unknown disturbance is estimated by disturbance observer (DOB). and it is compensated by the composited controller. The norm-bounded disturbance is attenuation under the condition of H-infinity constraint. The matched unknown disturbance and state are estimated separately based on missing measurement which is described by a binary switching sequence. The augmented systems, which consist of result closed-loop systems and error dynamic of disturbance are exponentially mean-square stable for zeros additional disturbance, and the systems also satisfy prescribed H-infinity performance requirement. A sufficient condition is derived to find DOB gain matrix, controller gain matrix in terms of Lyapunov approach. A numerical example is given to show the effectiveness of proposed method.
引用
收藏
页码:8032 / 8037
页数:6
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