Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Block Diagram Reduction01:22

Block Diagram Reduction

613
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
613
Classification of Systems-II01:31

Classification of Systems-II

544
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
544
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

1.0K
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
1.0K
First-Order Circuits01:15

First-Order Circuits

5.3K
First-order electrical circuits, which comprise resistors and a single energy storage element - either a capacitor or an inductor, are fundamental to many electronic systems. These circuits are governed by a first-order differential equation that describes the relationship between input and output signals.
One common example of a first-order circuit is the RC (resistor-capacitor) circuit. These circuits are used in relaxation oscillators such as neon lamp oscillator circuits. When voltage is...
5.3K
Classification of Systems-I01:26

Classification of Systems-I

649
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
649
Second-Order Circuits01:17

Second-Order Circuits

4.2K
Integrating two fundamental energy storage elements in electrical circuits results in second-order circuits, encompassing RLC circuits and circuits with dual capacitors or inductors (RC and RL circuits). Second-order circuits are identified by second-order differential equations that link input and output signals.
Input signals typically originate from voltage or current sources, with the output often representing voltage across the capacitor and/or current through the inductor. For example, in...
4.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

From FAIR to CURE: guidelines for computational models of biological systems.

NPJ systems biology and applications·2026
Same author

Integrated mathematical and experimental modeling uncovers enhanced EMT plasticity upon loss of the DLC1 tumor suppressor.

PLoS computational biology·2025
Same author

FAIRification of computational models in biology.

bioRxiv : the preprint server for biology·2025
Same author

From FAIR to CURE: Guidelines for Computational Models of Biological Systems.

ArXiv·2025
Same author

Characterising the blood-stage antimalarial activity of pyronaridine in healthy volunteers experimentally infected with Plasmodium falciparum.

International journal of antimicrobial agents·2024
Same author

A Provably Convergent Control Closure Scheme for the Method of Moments of the Chemical Master Equation.

Journal of chemical theory and computation·2023
Same journal

The hydra and hormetic effects in a single discrete-time overcompensation model.

Mathematical biosciences·2026
Same journal

Seasonal impacts on brucellosis transmission mediated by live sheep supply-demand dynamics.

Mathematical biosciences·2026
Same journal

Optimal controls and cost-effectiveness analysis on the transmission dynamics of early blight disease in tomatoes.

Mathematical biosciences·2026
Same journal

Temperature-dependent dynamics and allee effect thresholds mediate fourfold cusp stability in biological control of invasive vectors.

Mathematical biosciences·2026
Same journal

Dynamics of a stochastic tumor-immune interaction system with an Ornstein-Uhlenbeck process.

Mathematical biosciences·2026
Same journal

Post-peak dynamics and epidemic overshoot in SIR-type frameworks.

Mathematical biosciences·2026
See all related articles

Related Experiment Video

Updated: Mar 15, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K

The circuit-breaking algorithm for monotone systems.

Caterina Thomaseth1, Karsten Kuritz1, Frank Allgöwer1

  • 1Institute for Systems Theory and Automatic Control, University of Stuttgart, Pfaffenwaldring 9, 70569 Stuttgart, Germany.

Mathematical Biosciences
|September 11, 2016
PubMed
Summary
This summary is machine-generated.

The circuit-breaking algorithm (CBA) analyzes intracellular networks by mapping fixed points to characteristic zeros. This study applies CBA to monotone systems, revealing conditions for instability and characterizing long-term behavior in biological models.

Keywords:
Circuit-breaking algorithmInput/output characteristicMAPK signaling pathwayMonotone system

More Related Videos

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

3.0K
Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality
08:09

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

Published on: September 3, 2015

11.5K

Related Experiment Videos

Last Updated: Mar 15, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

3.0K
Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality
08:09

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

Published on: September 3, 2015

11.5K

Area of Science:

  • Systems Biology
  • Mathematical Biology
  • Computational Biology

Background:

  • Intracellular regulation networks are crucial for cellular function.
  • The circuit-breaking algorithm (CBA) was previously developed for analyzing these networks.
  • Fixed points of biological systems represent stable states.

Purpose of the Study:

  • To apply the CBA to monotone dynamical systems.
  • To investigate the relationship between fixed point stability and the circuit-characteristic derivative.
  • To derive conditions for instability and characterize stability in these systems.

Main Methods:

  • Application of the circuit-breaking algorithm (CBA) to monotone systems.
  • Analysis of the relationship between fixed point stability and the zeros of the circuit-characteristic.
  • Derivation of sufficient conditions for instability and characterization of stability.

Main Results:

  • Sufficient conditions for instability were derived for systems with global asymptotic stability.
  • Fixed point stability was fully characterized for monotone systems.
  • The long-term behavior of intracellular regulation models was elucidated.

Conclusions:

  • The CBA provides a powerful tool for analyzing intracellular regulation networks.
  • The study advances the understanding of stability and long-term dynamics in monotone systems.
  • Results offer insights into the behavior of biological regulatory processes.