Identification of Polynomial & Rational Narmax Models

Identification of Narmax and Related Models

Practical identification of NARMAX models using radial basis functions

International Journal of Control Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713393989 Practical identification of NARMAX models using radial basis functions S. Chen a; S. A. Billings b; C. F. N. Cowan a; P. M. Grant a a Department of Electrical Engineering, University of Edinburgh, Edinburgh, Scotland, U....

Process Identification Using Polynomial Models

Abstract: This paper deals with the identification of linear systems using input-output response data. Specifically we focus on nonparametric (finite impulse or step response, FIR or FSR) models widely used in model predictive control. A polynomial model is proposed to reduce the number of parameters needed to represent the model. This leads to parsimonious, yet extremely robust models. The tim...

Sparse Identification of Polynomial and Posynomial Models

Posynomial models are widely used in various engineering design endeavors, such as circuits, aerospace and structural design, mainly due to the fact that design problems cast in terms of posynomial objectives and constraints can be solved efficiently by means of a convex optimization technique known as geometric programming (GP). However, while quite a vast literature exists on GP-based design,...

The Rational Polynomial Coefficients Modification Using Digital Elevation Models

The high-resolution satellite imageries (HRSI) are as primary dataset for different applications such as DEM generation, 3D city mapping, change detection, monitoring, and deformation detection. The geo-location information of HRSI are stored in metadata called Rational Polynomial Coefficients (RPCs). There are many methods to improve and modify the RPCs in order to have a precise mapping. In t...