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An H Technology for Control of the Integrity of the Kalman Type of Estimating Filters with the Use of Adaptive Robust Procedures

机译:H 技术,使用自适应鲁棒程序控制卡尔曼类型估计滤波器的完整性

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This paper is devoted to the problem of increasing the level of confidence when the state of nonlinear dynamical systems (DSs) is estimated with the help of an extended Kalman filter (EKF). The problem mentioned involves a need for the prevention of EKF divergence. The proposed solution of the above problem relies both on the technique of matrix inequalities and on the technology ofH?optimization. Compared with a traditional EKF, the solution obtained includes, in addition, the loops intended to monitor and protect the integrity of an estimating filter. The results of the mathematical simulation are given, which corroborate the effectiveness of the proposed approach.
机译:本文致力于在借助扩展卡尔曼滤波器(EKF)估计非线性动力学系统(DSs)状态时增加置信度的问题。提到的问题涉及防止EKF分歧的需要。提出的上述问题的解决方案既依赖于矩阵不等式的技术,又依赖于H优化的技术。与传统的EKF相比,获得的解决方案还包括旨在监视和保护估计滤波器完整性的环路。给出了数学仿真的结果,证实了该方法的有效性。

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