Identification of intermittent control in man and machine

Area of Science:

• Control Theory
• Systems Biology
• Neuroscience

Background:

• Negative feedback regulation is crucial in engineering and biology.
• Continuous feedback models are standard, but intermittent control is proposed for biological systems like the central nervous system.

Purpose of the Study:

• To develop and validate a novel method for identifying intermittent control.
• To differentiate between continuous, event-driven intermittent, and clock-driven intermittent control systems.

Main Methods:

• Utilized a paired-step set-point sequence for identification experiments.
• Applied an Autoregressive Moving Average (ARMA) model with iterative set-point timing adjustments.
• Validated the method with simulations and human pursuit tracking data.

Main Results:

• The method successfully distinguished between continuous and intermittent control types.
• Event-driven intermittent control was identified in human pursuit tracking.
• An intermittent interval of 260-310 ms was found for human pursuit tracking (n=6, p<0.05).

Conclusions:

• A robust method for identifying intermittent control has been established.
• The findings support the presence of event-driven intermittent control in human motor tasks.
• This identification technique has broad applicability in both machine and biological systems.