Sampled-data observer for 2D Navier-Stokes equation
Wen Kang, Emilia Fridman, et al.
CDC 2019
In this paper we propose a state estimation method for linear parabolic partial differential equations (PDE) that accounts for errors in the model, truncation, and observations. It is based on an extension of the Galerkin projection method. The extended method models projection coefficients, representing the state of the PDE in some basis, by means of a differential-algebraic equation (DAE). The original estimation problem for the PDE is then recast as a state estimation problem for the constructed DAE using a linear continuous minimax filter. We construct a numerical time integrator that preserves the monotonic decay of a nonstationary Lyapunov function along the solution. To conclude, we demonstrate the efficacy of the proposed method by applying it to the tracking of a discharged pollutant slick in a two-dimensional fluid.
Wen Kang, Emilia Fridman, et al.
CDC 2019
Sergiy Zhuk, Olexander Nakonechnyi
Minimax Theory and its Applications
Sergiy Zhuk, Mihály Petreczky
IEEE TACON
Tigran Tchrakian, Sergiy Zhuk, et al.
ITSC 2015