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PF-stable estimators for nonlinear systems

机译:用于非线性系统的PF稳定估计

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摘要

The stability of filters for nonlinear dynamic systems with Lipschitz nonlinearities is addressed. By considering the disturbances in the system and measurement equations as the inputs to the system representing the estimation error dynamics, the input-output stability of the filtering mapping associated with the estimation error dynamics is introduced. This is done with respect to signals belonging a Sobolev space W. The connection between W-stability and asymptotic stability (based on the existence of a suitable Lyapunov function) of the filtering mapping is investigated.
机译:解决了利用Lipschitz非线性的非线性动态系统过滤器的稳定性。通过考虑系统和测量方程中的干扰作为表示估计误差动态的系统的输入,引入了与估计误差动态相关联的滤波映射的输入 - 输出稳定性。这是针对属于SoboLev空间W的信号来完成的。研究了W稳定性和渐近稳定性(基于合适Lyapunov函数的存在)之间的连接进行了滤波映射的连接。

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