A very general and numerically quite robust algorithm has been proposed by Sastry and Gauvrit (1980) for system identification. The present paper takes it up and examines its performance on a real test example. The example considered is the lateral dynamics of an aircraft. This is used as a vehicle for demonstrating the performance of various aspects of the algorithm in several possible modes
We investigate the problem of an aircraft dynamic model parametric identification using dimensional ...
In this paper, a comparison between two models for nonlinear systems is made. Both models have a sta...
A new method of extracting aircraft stability and control derivatives from flight test data is devel...
The simultaneous state and parameter estimation problem for a linear discrete-time system with unkno...
In this paper we present a review of some recent results for identification of linear dynamic system...
International audienceFour new Maximum Likelihood based approaches for aircraft dynamics identificat...
Identification criteria are presented for linear dynamic systems with and without process noise. Wit...
Abstract:- This paper presents a new ON-LINE parametric identification and discrete optimal command ...
This paper presents a comparative study that explores the performance of various meta-heuristics emp...
The identification of dynamic system behavior from experimentally measured or computationally simula...
SIGLEKULeuven Campusbibliotheek Exacte Wetenschappen / UCL - Université Catholique de LouvainBEBelgi...
Two methods for maximum-likelihood estimation of flight mechanics parameters have been developed. Th...
A recently developed algorithm for nonlinear system performance analysis has been applied to an F16 ...
The present work evaluates the performances of different optimization techniques on a parameter iden...
In this paper, two sets of multisine signals are designed for system identification purposes. The fi...
We investigate the problem of an aircraft dynamic model parametric identification using dimensional ...
In this paper, a comparison between two models for nonlinear systems is made. Both models have a sta...
A new method of extracting aircraft stability and control derivatives from flight test data is devel...
The simultaneous state and parameter estimation problem for a linear discrete-time system with unkno...
In this paper we present a review of some recent results for identification of linear dynamic system...
International audienceFour new Maximum Likelihood based approaches for aircraft dynamics identificat...
Identification criteria are presented for linear dynamic systems with and without process noise. Wit...
Abstract:- This paper presents a new ON-LINE parametric identification and discrete optimal command ...
This paper presents a comparative study that explores the performance of various meta-heuristics emp...
The identification of dynamic system behavior from experimentally measured or computationally simula...
SIGLEKULeuven Campusbibliotheek Exacte Wetenschappen / UCL - Université Catholique de LouvainBEBelgi...
Two methods for maximum-likelihood estimation of flight mechanics parameters have been developed. Th...
A recently developed algorithm for nonlinear system performance analysis has been applied to an F16 ...
The present work evaluates the performances of different optimization techniques on a parameter iden...
In this paper, two sets of multisine signals are designed for system identification purposes. The fi...
We investigate the problem of an aircraft dynamic model parametric identification using dimensional ...
In this paper, a comparison between two models for nonlinear systems is made. Both models have a sta...
A new method of extracting aircraft stability and control derivatives from flight test data is devel...