Feedback Control Theory
Feedback Control Theory - Related Videos
01:26
Feedback control systems
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2024
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...
06:31
Force and Position Control in Humans - The Role of Augmented Feedback
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Cited by 3 •
2016
Controlling an identical movement with position or force feedback results in different neural activation and motor behavior. This protocol describes how to investigate behavioral changes by looking at neuromuscular fatigue and how to evaluate motor cortical (inhibitory) activity using subthreshold TMS with respect to the interpretation of augmented feedback.
04:48
Control of Eating Behavior Using a Novel Feedback System
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Cited by 22 •
2018
Subjects eat food from a plate placed on a scale connected to a computer that records the weight loss of the plate during the meal. Feedback on the computer screen allows the subject to adapt her/his eating behavior to reference curves thus normalizing body weight.
00:46
Feedback Inhibition
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2019
Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell! Since enzymes help control the rate of reactions, their activity is regulated so that appropriate amounts of starting materials, intermediate metabolites, and products are maintained in the cell. Excessive build-up or depletion of...
06:41
Prospect Theory
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University What’s the value of a dollar? Currencies store value to facilitate trade. Implied in any economic transaction is the value of a unit of currency. But what is the subjective value of a dollar? For a long time, economists assumed the answer to this question to be, specifically, that a dollar has a value determined by the market and that the subjective value of a dollar is always that, more or less. Beginning in the early 1970s,...
FAQs
The error signal represents the difference between sensory information about the current output and an internal goal or set point. Neural circuits use this difference to generate corrective commands rather than simply reproducing an existing response. In neuroscience, this mechanism helps explain how the nervous system adjusts movement, posture, physiological regulation, and perception when the current state does not match the desired one.
Negative feedback counteracts deviations from a desired state, which supports stability in a changing system. Sensory information about the output returns to the control process, allowing corrective commands to reduce the discrepancy between the current condition and the target. This principle is especially relevant to maintaining posture, regulating physiology, and supporting consistent behavior despite ongoing interactions between the brain, body, and environment.
Internal goals or set points provide the reference against which sensory signals are evaluated. The same output can therefore produce different corrective commands depending on the state the system is trying to achieve. In neuroscience, this comparison links perception and action: sensory information identifies the current condition, while the internal reference determines whether neural circuits should adjust behavior, movement, or physiological regulation.
The framework treats behavior as a closed-loop interaction rather than a one-way command from brain to body. Outputs affect the body and environment, sensory signals report resulting conditions, and neural circuits use that information to modify subsequent commands. This perspective is useful for studying adaptive behavior because it connects control processes with the changing conditions experienced during action and perception.
Researchers can identify the desired state, determine which sensory signals report the current output, examine how the system compares those signals with the internal reference, and trace the corrective commands produced by neural circuits. They can then consider how the resulting behavior changes the body or environment and how new feedback alters subsequent control. This approach organizes analysis of closed-loop neural systems.
Applications include motor control, posture, physiology, perception, and adaptive behavior. In each case, researchers can examine how sensory information and corrective commands contribute to regulation around an internal goal or set point. The framework also helps connect processes that are often studied separately, showing how neural activity, bodily state, and environmental interaction jointly influence observable behavior and ongoing control.
Brain-machine interfaces and neuroprosthetics can use real-time neural or behavioral feedback to update control as performance changes. Rather than relying only on a fixed command, the device can incorporate information about its current output and the user's ongoing interaction with it. This feedback-based approach can improve control and support more responsive therapeutic devices, according to the overview.