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arXiv · 2502.20941

Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints

Jingwei Hu·Dave Zachariah·Torbjörn Wigren·Petre Stoica
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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.

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Jingwei Hu, Dave Zachariah, Torbjörn Wigren, Petre Stoica. 2025-02-28. Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints. https://arxiv.org/abs/2502.20941

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