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Phase-lead and Phase-lag Controllers

Phase-lead and Phase-lag Controllers

Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass filters, manage...

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Related Experiment Video

Updated: Jul 19, 2026

New Framework for Understanding Cross-Brain Coherence in Functional Near-Infrared Spectroscopy (fNIRS) Hyperscanning Studies

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Published on: October 6, 2023

Anticipatory control of long-range phase synchronization.

Joachim Gross¹, Frank Schmitz, Irmtraud Schnitzler

¹Department of Neurology, Heinrich Heine University, Duesseldorf, Germany. jgross@uni-duesseldorf.de

The European Journal of Neuroscience

|October 28, 2006

Summary

Brain activity, specifically neural phase synchronization, increases when predicting visual targets. This suggests brain synchronization helps us use predictions effectively in daily life.

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Area of Science:

Neuroscience
Cognitive Science
Human Behavior

Background:

Human behavior relies on predicting outcomes from sensory information.
Long-range neural phase synchronization is a proposed mechanism for prediction effects on sensory processing.

Purpose of the Study:

To investigate the link between neural phase synchronization and target predictability.
To explore the role of synchronization in visual target processing networks.

Main Methods:

Magnetoencephalography (MEG) was used to measure brain activity.
Studied phase synchronization in visual processing areas.
Assessed the relationship with target occurrence probability.

Main Results:

A significant increase in the modulation of phase synchronization was observed.
This increase correlated with higher probabilities of target occurrence.

Conclusions:

Findings support the hypothesis that long-range neural phase synchronization is crucial for predictive processing.
Neural synchronization facilitates the use of predictive heuristics in human cognition.