system identification

He has made extensive contributions to control theory, particularly in the area of system identification.

There is a difference between the system identification and feedback cancellation.

This model does however still have a number of unknown free parameters which can be estimated using system identification.

Recurrent networks have also been used for system identification.

Commonly used techniques are regression, transfer functions, and system identification.

The process of determining the equations that govern the model's dynamics is called system identification.

Other approaches to understanding nervous systems include the systems identification approach, popular in engineering.

Much of this research has been associated with the subdiscipline of system identification.

Two types of models are common in the field of system identification:

The Wiener series is important in nonlinear system identification.

- To develop functional expertise in the areas of system identification, development, implementation and designing.

Techniques to estimate a system process from observed data fall under the general category of system identification.

Most system identification algorithms are of this type.

System identification techniques take the experimental data from a system and output a realization.

System identification and estimation theory describe techniques to estimate values of unknown parameters.

Data-driven plant modeling uses techniques such as System identification.

Volterra series are frequently used in system identification.

System identification uses statistical methods to build mathematical models of dynamical systems from measured data.

Linear system identification, in which case the approximating matrix is Hankel structured.

From 1980 to 1986, he was responsible for research and consultation in the areas of system identification, digital signal processing and modern control theory.

This approach is called system identification.

Determination of the model paremeters using experimental input and output data can be accomplished by system identification techniques.

He is known for his pioneering research in system identification, and is regarded as a leading researcher in control theory.

System identification is a general term to describe mathematical tools and algorithms that build dynamical models from measured data.

But now-well, he's fixated on the Qeng Ho system identification software.