Title
Set membership state and parameter estimation for systems described by nonlinear differential equations
Abstract
This paper investigates the use of guaranteed methods to perform state and parameter estimation for nonlinear continuous-time systems, in a bounded-error context. A state estimator based on a prediction-correction approach is given, where the prediction step consists in a validated integration of an initial value problem for an ordinary differential equation (IVP for ODE) using interval analysis and high-order Taylor models, while the correction step uses a set inversion technique. The state estimator is extended to solve the parameter estimation problem. An illustrative example is presented for each part.
Year
DOI
Venue
2004
10.1016/j.automatica.2004.05.006
Automatica
Keywords
Field
DocType
State estimation,Parameter estimation,Continuous-time systems,Nonlinear systems,Bounded noise,Differential equations,Interval analysis
Differential equation,Mathematical optimization,Nonlinear system,Ordinary differential equation,Control theory,Initial value problem,Set inversion,Estimation theory,Predictor–corrector method,Ode,Mathematics
Journal
Volume
Issue
ISSN
40
10
Automatica
Citations 
PageRank 
References 
52
3.09
4
Authors
3
Name
Order
Citations
PageRank
Tarek Raïssi133034.58
N. Ramdani2523.09
Yves Candau313410.83