Real-time estimation of interaction delays.
We introduce a real-time method for the identification of time-varying interaction delays in coupled systems with and without unknown structural parameters and analyze the convergence of the delay identification process. The identification method can be applied to monitor the change in interaction delays, as well as to decode the encoding of interaction delays. Several examples are presented to illustrate the reliability and robustness of the suggested strategy.
Yu
Dongchuan
D
Key Laboratory for NeuroInformation of Ministry of Education, School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.
Boccaletti
Stefano
S
D001683:Biological Clocks / Q000502:physiology*; D003198:Computer Simulation; D003199:Computer Systems; D025461:Feedback, Physiological / Q000502:physiology; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D013997:Time Factors