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Related Experiment Video

Updated: Jun 18, 2026

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

Real-time estimation of interaction delays.

Dongchuan Yu¹, Stefano Boccaletti

¹Key Laboratory for NeuroInformation of Ministry of Education, School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|November 13, 2009

Summary

This study presents a real-time method to identify changing interaction delays in coupled systems. The technique reliably monitors and decodes these delays, even with unknown system parameters.

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Area of Science:

Systems Engineering
Control Theory
Signal Processing

Background:

Coupled systems often exhibit time-varying interaction delays.
Accurate identification of these delays is crucial for system monitoring and control.
Existing methods may struggle with real-time adaptation or unknown system parameters.

Purpose of the Study:

To develop a real-time method for identifying time-varying interaction delays.
To analyze the convergence properties of the proposed delay identification technique.
To demonstrate the method's applicability in monitoring and decoding interaction delays.

Main Methods:

A novel real-time algorithm for interaction delay identification.
Convergence analysis of the delay identification process.
Simulation and case studies on coupled systems with and without unknown parameters.

Main Results:

The proposed method accurately identifies time-varying interaction delays in real-time.
Convergence of the identification process is mathematically analyzed and validated.
The strategy demonstrates robustness and reliability across various system configurations.

Conclusions:

The developed real-time method offers a reliable approach for interaction delay identification.
This technique facilitates effective monitoring and decoding of dynamic delays in coupled systems.
The findings contribute to enhanced understanding and control of complex systems.