# Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization

arXiv: https://arxiv.org/abs/1805.04575 · HTML: https://mlsanity.com/paper/1805.04575/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 May 2018.

## Built on by (most cited first, 1 of 1)

- [Linear and Nonlinear MMSE Estimation in One-Bit Quantized Systems under a Gaussian Mixture Prior](https://mlsanity.com/paper/2407.01305/) (2024)

## Abstract (arXiv)

Block oriented model structure detection is quite desirable since it helps to imagine the system with real physical elements. In this work we explore experimental methods to detect the internal structure of the system, using a black box approach. Two different strategies are compared and the best combination of these is introduced. The methods are applied on two real systems with a static nonlinear block in the feedback path. The main goal is to excite the system in a way that reduces the total distortion in the measured frequency response functions to have more precise measurements and more reliable decision about the structure of the system.