Numerical Identification of Linear Dynamic Systems from Normal Operating Records

Åström, Karl Johan; Bohlin, Torsten

doi:10.1007/978-1-4899-6289-8_12

Cited by 250 publications

(95 citation statements)

References 5 publications

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“…The other avenue is the prediction-error approach, more in line with statistical time-series analysis and econometrics. This approach and all its basic themes were outlined in the pioneering paper Åström and Bohlin (1965). It is also the main perspective in Ljung (1999).…”

Section: System Identificationmentioning

confidence: 99%

Perspectives on system identification

Ljung¹

2010

Annual Reviews in Control

550

302

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Abstract:System identification is the art and science of building mathematical models of dynamic systems from observed input-output data. It can be seen as the interface between the real world of applications and the mathematical world of control theory and model abstractions. As such, it is an ubiquitous necessity for successful applications. System identification is a very large topic, with different techniques that depend on the character of the models to be estimated: linear, nonlinear, hybrid, nonparametric etc. At the same time, the area can be characterized by a small number of leading principles, e.g. to look for sustainable descriptions by proper decisions in the triangle of model complexity, information contents in the data, and effective validation. The area has many facets and there are many approaches and methods. A tutorial or a survey in a few pages is not quite possible. Instead, this presentation aims at giving an overview of the "science" side, i.e. basic principles and results and at pointing to open problem areas in the practical, "art", side of how to approach and solve a real problem.

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Section: System Identificationmentioning

confidence: 99%

Perspectives on system identification

Ljung¹

2010

Annual Reviews in Control

550

302

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“…This generates difficulties that lead desertion of students from basic electrical engineering classes. Equation (1) assumes that all considerations, diagrams and developments are embedded in a space of transformed signals. Students ask frequently two questions in regards to the usefulness of equation (1).…”

Section: Operational Calculusmentioning

confidence: 99%

An Operational Standpoint in Electrical Engineering

Rotella

Zambettakis

2013

ELS

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Abstract-In electrical engineering education exists a major difficulty for first level students, namely the Laplace transform. The question is: does this ubiquitous tool is needed in an electrical engineering course? Our answer is: Obviously, not. Based on an operational standpoint the paper describes some guidelines and results for a primer on handling signals and linear systems without using the Laplace transform. The main advantage is that the operational standpoint leads to simplified proofs for well-known results.

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“…A discrete time counterpart of the method is outlined in [4]. The method is based on Newton-Raphson iteration over a cost function of the transfer function parameters.…”

Section: Introductionmentioning

confidence: 99%