A Continuous-Time Linear System Identification Method for Slowly Sampled Data

Identification of Continuous-time Models from Sampled Data

An Approach to Sparse Continuous-time System Identification from Unevenly Sampled Data

In this work, we address the problem of identifying sparse continuous-time dynamical systems when the spacing between successive samples (the sampling period) is not constant over time. The proposed approach combines the leave-one-sample-out cross-validation error trick from machine learning with an iterative subset growth method to select the subset of basis functions that governs the dynamics...

Time domain identification of continuous-time systems with time delay using output error method from sampled data

This paper presents an off-line time domain output error identification algorithm for linear continuous-time systems with time delay from sampled data. The proposed method use a NonLinear Programming algorithm and needs an initialization step that is also proposed from a modification of the Yang algorithms. Simulations, as illustrated by Monte-Carlo runs, show that the obtained parameters are u...

Subspace method for continuous-time fractional system identification

Abstract: The aim of this paper is to develop a subspace method for state-space identification of continuous-time systems using fractional commensurate models. As compared to the classical state-space representation, the commensurate differentiation order must be estimated besides the state-space matrices. The latter are estimated with conventional subspace-based techniques using QR and singula...

A method for solving fully fuzzy linear system

In this paper, a numerical method for nding minimal solution of a mn fullyfuzzy linear system of the form Ax = b based on pseudo inverse calculation,is given when the central matrix of coecients is row full rank or column fullrank, and where A~ is a non-negative fuzzy mn matrix, the unknown vectorx is a vector consisting of n non-negative fuzzy numbers and the constant b isa vector consisting o...