Title
Identification of Partial Differential Equation Models for Continuous Spatio-Temporal Dynamical Systems
Abstract
The identification of a class of continuous spatio-temporal dynamical systems from observations is presented in this paper. The proposed approach is a combination of implicit Adams integration and an orthogonal least-squares algorithm, in which the operators are expanded using polynomials as basis functions, and the spatial derivatives are estimated by finite difference methods. The resulting identified models of the spatio-temporal evolution form a system of partial differential equations. Examples are provided to demonstrate the efficiency of the proposed method
Year
DOI
Venue
2006
10.1109/TCSII.2006.876464
IEEE Trans. on Circuits and Systems
Keywords
Field
DocType
continuous spatio-temporal dynamical systems,implicit adams&#8211,implicit adams-moulton formula,identification,spatio-temporal evolution,adams integration,partial differential equation (pde) identification,orthogonal least-squares algorithm,nonlinear dynamical systems,continuous spatio-temporal system,partial differential equation model identification,moulton formula,least mean squares methods,partial differential equations,finite difference methods,partial differential equation,finite difference method
Parabolic partial differential equation,Differential equation,Mathematical analysis,Numerical partial differential equations,First-order partial differential equation,Dynamical systems theory,Stochastic partial differential equation,Partial differential equation,Mathematics,Hyperbolic partial differential equation
Journal
Volume
Issue
ISSN
53
8
1549-7747
Citations 
PageRank 
References 
9
0.93
6
Authors
2
Name
Order
Citations
PageRank
L. Z. Guo117016.55
S. A. Billings236560.58