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

Stability01:28

Stability

128
The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
128
Stability of structures01:14

Stability of structures

168
In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
168
Transient and Steady-state Response01:24

Transient and Steady-state Response

181
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
181
First Order Systems01:21

First Order Systems

93
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
93
Types of Damping01:20

Types of Damping

6.4K
If the amount of damping in a system is gradually increased, the period and frequency start to become affected because damping opposes, and hence slows, the back and forth motion (the net force is smaller in both directions). If there is a very large amount of damping, the system does not even oscillate; instead, it slowly moves toward equilibrium. In brief, an overdamped system moves slowly towards equilibrium, whereas an underdamped system moves quickly to equilibrium but will oscillate about...
6.4K
Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

448
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
448

You might also read

Related Articles

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

Sort by
Same author

Evolution of clonal hematopoiesis during cancer treatment and its impact on outcomes.

The Journal of clinical investigation·2026
Same author

Universal principles of cell population growth follow from local contact inhibition.

iScience·2026
Same author

Evolutionary antifragile therapy is a treatment strategy to suppress drug resistance by exploiting dose response convexity.

Cancer research·2026
Same author

Mechanistic learning to predict and understand minimal residual disease.

bioRxiv : the preprint server for biology·2026
Same author

V2VSL: Infrastructure-Free, Decentralized Variable Speed Limit Control.

Data science for transportation·2026
Same author

<sup>177</sup>Lu-PSMA-617 SPECT/CT for Early Prediction of Overall Survival in Participants with Metastatic Castration-Resistant Prostate Cancer.

Radiology·2026

Related Experiment Video

Updated: Jul 6, 2025

Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

23.6K

Antifragility as a complex system's response to perturbations, volatility, and time.

Cristian Axenie1, Oliver López-Corona2, Michail A Makridis3

  • 1Department of Computer Science and Center for Artificial Intelligence, Nuremberg Institute of Technology Georg Simon Ohm, Nuremberg, Germany.

Arxiv
|January 10, 2024
PubMed
Summary

Antifragility theory explains how systems benefit from variability and unexpected challenges. This review explores antifragile applications in technical and natural systems across different scales.

More Related Videos

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.5K
A Modified Lean and Release Technique to Emphasize Response Inhibition and Action Selection in Reactive Balance
07:19

A Modified Lean and Release Technique to Emphasize Response Inhibition and Action Selection in Reactive Balance

Published on: March 19, 2020

5.9K

Related Experiment Videos

Last Updated: Jul 6, 2025

Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

23.6K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.5K
A Modified Lean and Release Technique to Emphasize Response Inhibition and Action Selection in Reactive Balance
07:19

A Modified Lean and Release Technique to Emphasize Response Inhibition and Action Selection in Reactive Balance

Published on: March 19, 2020

5.9K

Area of Science:

  • Systems theory
  • Dynamical systems
  • Complexity science

Background:

  • Antifragility defines systems that gain from variability, contrasting with fragile or robust systems.
  • Understanding antifragility is crucial for designing adaptive technical and natural systems.
  • Existing research shows antifragility principles apply across diverse fields like engineering and medicine.

Approach:

  • This review synthesizes antifragility theory and its applications in technical and natural systems.
  • It introduces a framework of three scales: intrinsic, inherited, and interventional (technical) and ecological, evolutionary, and interventional (biological).
  • The manuscript provides a spectrum from fragility to antifragility, detailing principles and practical implications.

Key Points:

  • Antifragility quantifies a system's beneficial response to input variability.
  • Applications span traffic control, robotics, cancer therapy, and antibiotic treatments.
  • A multi-scale framework (intrinsic, inherited, interventional) aids in understanding and designing antifragile systems.

Conclusions:

  • Antifragility offers a powerful lens for understanding system dynamics and designing for beneficial adaptation.
  • Defining antifragility across scales is essential for its effective application in diverse fields.
  • This work guides the design of systems exhibiting antifragile behavior, moving beyond mere resilience.