Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints
Systems and Control
2025-12-02 v3 Systems and Control
Abstract
We consider the joint problem of online experiment design and parameter estimation for identifying nonlinear system models, while adhering to system constraints. We utilize a receding horizon approach and propose a new adaptive input design criterion, which is tailored to continuously updated parameter estimates, along with a new sequential estimator. We demonstrate the ability of the method to design informative experiments online, while steering the system within operational constraints.
Keywords
Cite
@article{arxiv.2502.20941,
title = {Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints},
author = {Jingwei Hu and Dave Zachariah and Torbjörn Wigren and Petre Stoica},
journal= {arXiv preprint arXiv:2502.20941},
year = {2025}
}