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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:适应观察者,用于联合读取参数和耦合波PDE和无限维竞音系统的输入

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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:本文涉及耦合PDE-ode系统的联合参数和输入估计。该系统由阻尼波方程和无限尺寸ode组成。该模型描述了大脑中的时空血流动力学反应,目标是使用功能磁共振成像(FMRI)数据来表征脑区域。因此,我们提出了一种自适应估计器,并证明了状态的渐近融合,未知的输入和未知参数。证据基于Lyapunov方法与先验的可识别性假设相结合。通过一些仿真结果说明了所提出的观察者的性能。

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