本文研究了基于外定界椭球集合的参数集估计问题。
This paper makes a study of parameter set estimation based on extend bounding ellipsoid set.
通过在不同的更新阶段采用优化定界椭球(OBE)算法，对该系统提出了一种新的状态估计方法。
A method based on optimal bounding ellipsoid (OBE) algorithmic procedure at each stage of updating is presented.
论文介绍了有界噪声下基于最小二乘方法的最优定界椭球算法，提出了一种新颖的外定椭球自适应约束最小二乘算法，并对该算法的性能进行了分析。
The most excellent bounding ellipsoid based on least-square method is described, the authors introduced a novel out bounding ellipsoid self-adaptive least-square method and analyze it's performance.
算法假设系统的过程和量测噪声以及初始状态由已知椭球来定界，然后利用椭球集合来描述系统真实状态的可行集。
The algorithm employed ellipsoidal outer approximation of the feasible set assuming instantaneous process and observation noise vectors and the initial state to be bounded by known ellipsoids.
提出了一种计算鲁棒的线性离散时间系统的椭球状态定界算法。
A numerically robust algorithm for computing ellipsoidal bounds on the state of a linear, discrete-time dynamic system was proposed.
提出了一种计算鲁棒的线性离散时间系统的椭球状态定界算法。
A numerically robust algorithm for computing ellipsoidal bounds on the state of a linear, discrete-time dynamic system was proposed.
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