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Adaptive observer for the joint estimation of parameters and input for a coupled wave PDE and infinite dimensional ODE system

机译:耦合波PDE和无穷维ODE系统的参数和输入联合估计的自适应观测器

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This paper deals with joint parameters and input estimation for coupled PDE-ODE system. The system consists of a damped wave equation and an infinite dimensional ODE. This model describes the spatiotemporal hemodynamic response in the brain and the objective is to characterize brain regions using functional Magnetic Resonance Imaging (fMRI) data. For this reason, we propose an adaptive estimator and prove the asymptotic convergence of the state, the unknown input and the unknown parameters. The proof is based on a Lyapunov approach combined with a priori identifiability assumptions. The performance of the proposed observer is illustrated through some simulation results.
机译:本文讨论了耦合PDE-ODE系统的联合参数和输入估计。该系统由一个阻尼波方程和一个无穷维ODE组成。该模型描述了大脑中的时空血流动力学响应,目的是使用功能性磁共振成像(fMRI)数据来表征大脑区域。因此,我们提出了一种自适应估计器,并证明了状态,未知输入和未知参数的渐近收敛性。该证明是基于Lyapunov方法与先验可识别性假设相结合的。通过一些仿真结果说明了提出的观测器的性能。

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