Distributed Parameter Estimation Using Invariant Manifold Approach

Jingping Shao, Yangyang Chen
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Abstract

A novelty of distributed parameter estimation strategy for a class of nonlinear system with a time-varying parameter is proposed in this paper. The approach relies upon the concepts of invariant manifold and cooperative persistent excitation condition, does not require a priori knowledge of the time-varying parameters. In addition, it is shown that the parameter estimation error is not only bounded but also can converge to a small neighborhood of the origin for sufficiently large value of gain. A numerical simulation example is presented to demonstrate the effectiveness of the proposed method.
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基于不变流形方法的分布参数估计
针对一类具有时变参数的非线性系统,提出了一种新颖的分布参数估计策略。该方法依赖于不变流形和协同持久激励条件的概念,不需要对时变参数的先验知识。此外,还证明了当增益值足够大时,参数估计误差不仅是有界的,而且可以收敛到原点的小邻域内。最后通过数值仿真实例验证了该方法的有效性。
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