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PF-stable estimators for nonlinear systems

机译:非线性系统的PF稳定估计器

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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:提出了具有Lipschitz非线性的非线性动力系统滤波器的稳定性。通过将系统中的干扰和测量方程视为代表估计误差动态的系统输入,引入了与估计误差动态相关的滤波映射的输入输出稳定性。这是针对属于Sobolev空间W的信号完成的。研究了滤波映射的W稳定性和渐近稳定性之间的联系(基于适当的Lyapunov函数的存在)。

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