# Identification of Disturbed Control Systems

## TL;DR

This paper develops criteria and algorithms for identifying nonlinear control systems from experiments, ensuring practical applicability with known convergence rates.

## Contribution

It introduces new identifiability criteria and an implementable algorithm for nonlinear control system identification, with explicit convergence rate analysis.

## Key findings

- Established several identifiability criteria.
- Proposed an implementable identification algorithm.
- Explicitly computed convergence rates.

## Abstract

This paper studies the identification of nonlinearly parameterized control systems in given experiments. Several identifiability criteria are established and an implementable algorithm is proposed for practicality with the convergence rate explicitly computed.