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ON LIMITATIONS OF THE SAMPLED—DATA FEEDBACK FOR NONPARAMETRIC DYNAMICAL SYSTEMS
作者姓名:XUEFeng  GUOLei
作者单位:Institute of Systems Science,Chinese Academy of Sciences,Beijing 100080,China
基金项目:This work is supported by the National Natural Science Foundation of China and the National Key Project of China.
摘    要:In this paper, we study a basic class of first order sampled-data control systems with unknown nonlinear structure and with sampling rate not necessarily fast enough, aiming at understanding the capability and limitations of the sampled-data feedback. We show that if the unknown nonlinear function has a linear growth rate with its "slope" (denoted by L) being a measure of the "size" of uncertainty, then the sampling rate should not exceed 1/L multiplied by a constant (≈ 7.53) for the system to be globally stabilizable by the sampled-data feedback. If, however, the unknown nonlinear function has a growth rate faster than linear, and if the system is disturbed by noises modeled as the standard Brownian motion, then an example is given, showing that the corresponding sampled-data system is not stabilizable by the sampled-data feedback in general, no matter how fast the sampling rate is.

关 键 词:取样数据  自适应控制  不确定非线性系统

ON LIMITATIONS OF THE SAMPLED-DATA FEEDBACK FOR NONPARAMETRIC DYNAMICAL SYSTEMS
XUEFeng GUOLei.ON LIMITATIONS OF THE SAMPLED-DATA FEEDBACK FOR NONPARAMETRIC DYNAMICAL SYSTEMS[J].Journal of Systems Science and Complexity,2002,15(3):225-250.
Authors:XUE Feng  QUO Lei
Abstract:
Keywords:Sampled-data control  adaptive control  uncertain nonlinear systems  Brow-nian motion  stability  
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