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Related Concept Videos

Control Systems01:10

Control Systems

2.0K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
2.0K
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

428
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
428
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

492
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
492
Feedback control systems01:26

Feedback control systems

761
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
761
Control System Problem01:21

Control System Problem

475
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
475
Transient and Steady-state Response01:24

Transient and Steady-state Response

618
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
618

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Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol
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Inducing Proactive Control Shifts in the AX-CPT.

Corentin Gonthier1, Brooke N Macnamara2, Michael Chow3

  • 1Department of Psychology, LPNC UMR CNRS 5105, University of SavoyChambéry, France; Department of Psychology, CRPCC EA 1285, University of RennesRennes, France.

Frontiers in Psychology
|December 7, 2016
PubMed
Summary

This study shows how to manipulate proactive and reactive cognitive control using strategy training and no-go tasks. These findings support the Dual Mechanisms of Control theory.

Keywords:
AX-CPTDual Mechanisms of Controlcognitive controlno-go manipulationproactive controlstrategy training

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Area of Science:

  • Cognitive Psychology
  • Neuroscience

Background:

  • The Dual Mechanisms of Control (DMC) account posits two cognitive control modes: proactive and reactive.
  • Previous research, often using the AX-CPT paradigm, supports the DMC framework with group and individual differences.

Purpose of the Study:

  • To investigate task manipulations that can experimentally modulate proactive control utilization in healthy young adults.
  • To provide a better understanding of cognitive control mechanisms through targeted interventions.

Main Methods:

  • Three experiments were conducted to systematically bias participants toward or away from proactive control.
  • Methods included strategy training to encourage proactive control and no-go manipulations to discourage it.

Main Results:

  • Demonstrated successful experimental modulation of proactive control utilization.
  • Showed that individuals can be systematically biased toward and away from proactive control.

Conclusions:

  • Results offer increased support for the Dual Mechanisms of Control (DMC) framework.
  • Provides a novel foundation for examining group differences and neural mechanisms of cognitive control modes.