System identification is an iterative model building process to obtain an accurate mathematical description from measured system responses. It involves two characteristically different aspects, the first being the choice of computationally intensive parameter estimation procedure and the second being the mandatory tasks such as preparation of experimental data, statistical analysis of residuals and model validation through time history plots and system analysis. In the first case, a variety of efficient parameter estimation algorithms is necessary to cover the broad spectrum of applications. The second aspect requires availability of user friendly pre- and post-processing graphical tools to rapidly determine the model quality. ESTIMA, an integrated software tool developed at the DLR Institute of Flight Systems, provides a well proven developmental environment to researchers and engineers to accelerate efficient model development process. This paper highlights the capabilities of this universally applicable package for system identification and simulation of general nonlinear dynamic systems. A few typical examples of parameter estimation and post-processing capabilities are demonstrated. A short description of related software tools KONVERT and MeDaLib for format conversion and preparation of measured data is presented.

References in zbMATH (referenced in 14 articles , 1 standard article )

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