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Related Concept Videos

PID Controller01:19

PID Controller

389
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
389
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

272
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
272
PI Controller: Design01:24

PI Controller: Design

820
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
820
PD Controller: Design01:26

PD Controller: Design

458
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
458
Impedance Combination01:21

Impedance Combination

564
Consider a string of christmas lights, each bulb symbolizing an impedance element. In this series configuration, the flow of electric current remains uniform across every component. This behavior aligns with Kirchhoff's Voltage Law (KVL), which asserts that the total impedance in such a setup equals the sum of individual impedances—akin to resistors in series. It follows that the voltage from the power source is distributed proportionally among these components, adhering to the voltage...
564
Graphs of Polar Equations01:17

Graphs of Polar Equations

88
The polar coordinate system represents points using a distance from a central point (the pole) and an angle from a reference direction (the polar axis). Unlike rectangular coordinates, polar coordinates are ideal for graphing curves with radial symmetry or periodic behavior.Some general forms of graphs in polar coordinates include the following:Equation of a Circle (Centered at the Pole):A graph where the radius remains constant for all angles traces a circle centered at the pole:Equation of a...
88

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Related Experiment Video

Updated: Nov 19, 2025

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
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Connected Research: The Potential of the PID Graph.

Helena Cousijn1, Ricarda Braukmann2, Martin Fenner1

  • 1DataCite, Welfengarten 1B, 30167 Hannover, Germany.

Patterns (New York, N.Y.)
|January 29, 2021
PubMed
Summary

Persistent identifiers (PIDs) are crucial for FAIR principles. Connecting PIDs via metadata creates a PID Graph, unlocking new research insights and optimizing PID value.

Keywords:
DSML 4: Production: Data science output is validated, understood, and regularly used for multiple domains/platforms

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Area of Science:

  • Information Science
  • Computer Science
  • Research Infrastructure

Background:

  • Persistent identifiers (PIDs) are essential for unique and long-lasting referencing of research entities.
  • PIDs are fundamental to achieving the FAIR data principles (Findable, Accessible, Interoperable, Reusable).
  • Current PID systems offer significant value but can be further enhanced through interconnectedness.

Purpose of the Study:

  • To demonstrate how connecting PIDs through metadata amplifies their benefits.
  • To introduce the PID Graph as a next-generation PID infrastructure.
  • To provide recommendations for optimizing PID utilization in the research ecosystem.

Main Methods:

  • Conceptualizing and defining the PID Graph architecture.
  • Describing the process of connecting PID metadata.
  • Analyzing the potential impact of a connected PID infrastructure.

Main Results:

  • The PID Graph enables the establishment of connections between diverse research entities.
  • Interconnected PIDs facilitate access to novel information for researchers and institutions.
  • The proposed approach enhances the overall utility and value of PIDs.

Conclusions:

  • Connecting PIDs via metadata significantly boosts their impact and supports FAIR principles.
  • The PID Graph represents a crucial advancement in research infrastructure.
  • Implementing the provided recommendations will optimize PID usage and value.