Stochastically stable robust observer for uncertain chaotic systems with system and measurement noises

M. Ayati
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Abstract

This paper presents a new chaos synchronization scheme based on the proposed stochastic adaptive sliding mode observer. The observer overcomes the drive system model uncertainties and unknown parameters to recover the drive system chaotic states form a scalar noisy coupling signal. Using the appropriate adaptation low the unknown parameters of the drive system are estimated and used to boost the state estimations. In addition, drive system state noise, channel noise, and measurement noise, are considered and the system and observer are modeled via stochastic differential equations. Stochastic stability of the drive-response system is proved through several theorems. These theorems guarantee that the mean values of the state estimation errors converge to zero as time goes to infinity. In the observer the adaptive sliding mode gains are always nonsingular even when the estimation error goes to zero. Presented numerical simulations confirm the effectiveness of the proposed observer and chaos synchronization scheme.
具有系统噪声和测量噪声的不确定混沌系统的随机稳定鲁棒观测器
本文提出了一种基于随机自适应滑模观测器的混沌同步方案。观测器克服了驱动系统模型的不确定性和未知参数,恢复了驱动系统的混沌状态,形成标量噪声耦合信号。采用适当的自适应方法对驱动系统的未知参数进行估计,并利用未知参数增强系统的状态估计。此外,还考虑了驱动系统的状态噪声、通道噪声和测量噪声,并通过随机微分方程对系统和观测器进行了建模。通过几个定理证明了驱动-响应系统的随机稳定性。这些定理保证了状态估计误差的均值在时间趋于无穷时收敛于零。在观测器中,即使估计误差趋近于零,自适应滑模增益也始终是非奇异的。仿真结果验证了该观测器和混沌同步方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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