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Root Loci for Positive-Feedback Systems01:23

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The Hartley oscillator is a positive feedback system that sustains oscillations by feeding the output back to the input in phase, thereby reinforcing the signal. Positive feedback systems can be viewed as negative feedback systems with inverted feedback signals. In these systems, the root locus encompasses all points on the s-plane where the angle of the system transfer function equals 360 degrees.
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The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A...
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Related Experiment Video

Updated: Apr 18, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

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Percolation on interacting networks with feedback-dependency links.

Gaogao Dong1, Ruijin Du1, Lixin Tian1

  • 1Nonlinear Scientific Research Center, Faculty of Science, Jiangsu University, Zhenjiang 212013, China.

Chaos (Woodbury, N.Y.)
|February 2, 2015
PubMed
Summary

Real-world networks often feature feedback-dependency links. This study reveals that while increasing coupling strength can enhance robustness in Poissonian networks, feedback links make scale-free networks more vulnerable, suggesting designers should avoid them for resilient systems.

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Area of Science:

  • Network science
  • Statistical physics
  • Complex systems

Background:

  • Real-world networks frequently exhibit connectivity and feedback-dependency links.
  • Understanding the behavior of coupled networks with these dependencies is crucial for system design.

Purpose of the Study:

  • To develop a mathematical framework for analyzing percolation in interacting networks with feedback-dependency links.
  • To investigate the impact of coupling strength and degree distribution on system robustness and phase transitions.

Main Methods:

  • Mathematical modeling and analytical studies.
  • Numerical simulations of network percolation.
  • Analysis of phase transitions (second order, first order, hybrid).

Main Results:

  • For Poissonian networks, increasing coupling strength shifts transitions from second to first order, enhancing robustness with higher average degrees.
  • For scale-free networks, feedback dependency links decrease system robustness, particularly under strong coupling, making them more vulnerable.
  • The density of inter-connectivity links influences the phase transition regions.

Conclusions:

  • Feedback-dependency links can significantly decrease the resilience of scale-free networks.
  • Designers aiming for robust systems should consider minimizing or avoiding feedback-dependency links.
  • System robustness is dependent on network type, coupling strength, and link density.