System identification only using sine input?

1. What are system identification methods?
2. Where is system identification used?
3. What is system identification in DSP?
4. Why do we do system identification?

What are system identification methods?

System identification is a methodology for building mathematical models of dynamic systems using measurements of the input and output signals of the system. The process of system identification requires that you: Measure the input and output signals from your system in time or frequency domain.

Where is system identification used?

One of the many possible applications of system identification is in control systems. For example, it is the basis for modern data-driven control systems, in which concepts of system identification are integrated into the controller design, and lay the foundations for formal controller optimality proofs.

What is system identification in DSP?

System identification is the process of identifying the coefficients of an unknown system using an adaptive filter. The general overview of the process is shown in System Identification –– Using an Adaptive Filter to Identify an Unknown System. The main components involved are: The adaptive filter algorithm.

Why do we do system identification?

System Identification allows you to build mathematical models of a dynamic system based on measured data. 2. How is that done? Essentially by adjusting parameters within a given model until its out- put coincides as well as possible with the measured output.