An Extension to the Frequency Domain System Identification Toolbox for MATLAB has been developed. It adds a simple-to-use Graphical User Interface to the existing toolbox. It increases numerical stability by using orthogonal polynomials. Both periodic and nonperiodic excitation signals can be used by proper modeling in the frequency domain. Systems in closed loop can also be identified. Objects...

The paper presents the results of the author’s research in the domain system identification. The numerical algorithms developed by authors are presented, the algorithms used to identify the monovariable system by ordinal I and II. Meanwhile, the System Identification Toolbox was investigated as tool used to identify those systems. The numerical results ware compared, results obtain both by usin...

The main purpose of this manual is to describe how to use the Matlab System Identification Toolbox. The most important toolbox commands are described briefly and in the order they are normally executed during a system identification session. See the toolbox manual and the Matlab built-in help function for further information about the commands. With a web browser (for example, Firefox) it is po...

This report introduces the system identification toolbox in MatLab as a tool to produce the required transfer functions. Introduction During the last CfC meeting in Visby, one of the questions was how transfer functions can be described for implementation purposes. Conclusions This report contains a paper that shows how the system identification toolbox in MatLab is used as a tool to produce th...

ii Captain Toolbox CAPTAIN is a MATLAB ® compatible toolbox for non stationary time series analysis, system identification, signal processing and forecasting, using unobserved components models, time variable parameter models, state dependent parameter models and multiple input transfer function models. CAPTAIN also includes functions for true digital control. iii Toolbox Installation CAPTAIN i...

System-identification methods compose a mathematical model, or series of models, from measurements of inputs and outputs of dynamic systems. The estimated models allow the characterization of the response of the overall aircraft or component subsystem behavior. This paper discusses the use of System Identification Toolbox of MATLAB/SIMULINK for the estimation of aircraft flight dynamics in long...

System identification is the process of creating models of dynamic process from inputoutput signals. The aim of system identification can be identified as “ to find a model with adjustable parameters and then to adjust them so that the predicted output matches the measured output”. This paper presents a method of modeling and simulating with system identification to achieve the maximum fitness ...

This paper describes the latest developments for the CONtinuous-Time System IDentification (CONTSID) toolbox to be run with Matlab which includes time-domain identification methods for estimating continuous-time models directly from sampled data. The main additions to the new version aim at extending the available methods to handle wider practical situations in order to enhance the application ...