Guaranteed nonlinear state estimator for cooperative systems

Guaranteed nonlinear state estimator for cooperative systems
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DOI:
10.1023/b:numa.0000049466.96588.a6
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发表时间:
2004-12-01
影响因子:
2.1
通讯作者:
Walter, E
Walter, E
中科院分区:
数学3区
文献类型:
--
作者:
Kieffer, M;Walter, E

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本文研究了连续时间非线性模型在所有不确定变量都有界的情况下的状态估计问题。更确切地说,考虑合作模型,即,满足对其动力学方程的雅可比矩阵的项的符号的某些约束的模型。在这种情况下,区间观测器和保证递归状态估计算法相结合,封闭在任何给定的时刻的状态在子铺路。该方法被示出的状态估计的废水处理过程。
This paper is about state estimation for continuous-time nonlinear models, in a context where all uncertain variables can be bounded. More precisely, cooperative models are considered, i.e., models that satisfy some constraints on the signs of the entries of the Jacobian of their dynamic equation. In this context, interval observers and a guaranteed recursive state estimation algorithm are combined to enclose the state at any given instant of time in a sub-paving. The approach is illustrated on the state estimation of a waste-water treatment process.