System identification is a common method for building the mathematical model of a physical plant, which is widely utilized in practical engineering situations. In general, the system identification consists of three key elements, i.e., the data, the model, and the criterion. The goal of identification is then to choose one from a set of candidate models to fit the data best according to a certain criterion. The criterion function is a key factor in system identification, which evaluates the consistency of the model to the actual plant and is, in general, an objective function for developing the identification algorithms. The identification performances, such as the convergence speed, steady-state accuracy, robustness, and the computational ...

Get System Parameter Identification now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.