State and input estimation for a class of uncertain systems
State and input estimation for a class of uncertain systems
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DOI：
10.1016/s0005-1098(98)00013-2
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发表时间：
1998-06-01
期刊：
影响因子：
6.4
通讯作者：
Tu, J
中科院分区：
文献类型：
--
作者：
Corless, M;Tu, J
本文研究一类不确定系统的状态和输入估计问题，这类系统由名义线性部分和不确定/非线性/时变部分组成，后者可视为状态相关/时变输入。我们得到了一个李雅普诺夫型表征的假设在文献中常见的这个问题。使用这个特征，我们得到的估计，只使用一个测量的输出，可以渐近估计到任何期望的精度的系统状态和输入。(C)1998爱思唯尔科技有限公司版权所有。
We consider here the problem of state and input estimation for a class of uncertain systems which consist of a nominally linear part and an uncertain/nonlinear/time-varying part which can be regarded as a state-dependent/time-varying input. We obtain a Lyapunov-type characterization of the assumptions commonly found in the literature on this problem. Using this characterization, we obtain estimators which, using only a measured output, can asymptotically estimate to any desired accuracy the system state and the input. (C) 1998 Elsevier Science Ltd. All rights reserved.