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Related Concept Videos

Controller Configurations01:22

Controller Configurations

Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
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Phase-lead and Phase-lag Controllers01:22

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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...
Feedback control systems01:26

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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...
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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.
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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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Preparing to reach: selecting an adaptive long-latency feedback controller.

Mohammad Ali Ahmadi-Pajouh1, Farzad Towhidkhah, Reza Shadmehr

  • 1Laboratory for Computational Motor Control, Department of Biomedical Engineering, The Johns Hopkins School of Medicine, Baltimore, Maryland 21205, USA.

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The brain prepares for voluntary movement by activating a specific feedback controller before the action begins. This controller

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Area of Science:

  • Neuroscience
  • Motor Control
  • Human Movement Science

Background:

  • Voluntary movements involve not only motor commands but also adjustments to sensory feedback processing.
  • The nervous system learns to adapt feedback gains, effectively creating a feedback controller through practice.
  • It remains unclear if this learned feedback controller is engaged during the preparatory period before movement initiation.

Purpose of the Study:

  • To investigate whether the brain engages a learned feedback controller during the preparatory period before a voluntary reach.
  • To determine if the motor system's response to perturbations during preparation reflects the activation of an anticipatory feedback controller.

Main Methods:

  • Participants trained on a reaching task involving adaptation to a force field.
  • During the preparatory period, the arm was subjected to brief mechanical perturbations.
  • Perturbations were applied either in the direction of the expected force field or in the opposite direction.
  • Long-latency reflex responses (45-100 ms delay) to these perturbations were measured.

Main Results:

  • Reach adaptation led to increased long-latency feedback gains compared to baseline.
  • This increase in feedback gain was specific to perturbations matching the direction of the expected force field.
  • No significant changes in feedback gain were observed for perturbations in the opposite direction.

Conclusions:

  • The brain actively engages a specific feedback controller during the preparatory period for an upcoming voluntary movement.
  • Motor adaptation modifies this preparatory feedback controller, increasing gains for expected sensory feedback.
  • This anticipatory engagement of feedback control suggests a predictive mechanism for movement preparation.