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

Support Reactions01:30

Support Reactions

A coplanar force system refers to a set of forces that all lie in the same plane and are subject to different reactions between the point of contact and the supports. Understanding how different types of supports affect coplanar forces is crucial for designing safe and reliable structures that can withstand external loads.
The purpose of the supports is to prevent the translational motion of the system by applying an equal and opposite force and to prevent the system's rotation by applying a...
Support Reactions in Three Dimensions01:27

Support Reactions in Three Dimensions

Support reactions in three dimensions help maintain the stability and equilibrium of various structures and systems. These reactions prevent the system from translating and rotating, ensuring the design can withstand external forces and perform its intended function efficiently and safely. Some of the supports providing support reactions in three dimensions are discussed below:
Ball and Socket Joint is one of the supports allowing free rotation about any axis. This freedom of rotation is...
Stability of structures01:14

Stability of structures

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,...
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
Second Law: Motion under Same Acceleration01:14

Second Law: Motion under Same Acceleration

Newton's second law of motion applies to bodies moving under the same acceleration. For example, when a baggage tractor pulls luggage carts, each cart moves at the same acceleration as that of the tractor.
Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...

You might also read

Related Articles

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

Sort by
Same author

Switching exploration modes in human mobility.

Journal of the Royal Society, Interface·2026
Same author

Persistent collaboration as a structural signature of scientific resilience.

PNAS nexus·2026
Same author

A scalable and generic framework for city-wide traffic prediction with large language model.

Nature communications·2026
Same author

Design of robust networks via reinforcement learning prompts the emergence of multi-backbones.

Nature communications·2026
Same author

Unveil Fundamental Graph Properties for Neural Architecture Search.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Coordination of network heterogeneity and individual preferences promotes collective fairness.

Patterns (New York, N.Y.)·2025
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Related Experiment Video

Updated: May 26, 2026

Operation of the Collaborative Composite Manufacturing (CCM) System
10:09

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Angle restriction enhances synchronization of self-propelled objects.

Jianxi Gao1, Shlomo Havlin, Xiaoming Xu

  • 1Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, PR China.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 21, 2011
PubMed
Summary
This summary is machine-generated.

This study reveals that restricting the angle change in self-propelled objects surprisingly enhances synchronization. An optimal angle exists for maximum synchronization, regardless of system noise.

More Related Videos

Method to Measure Tone of Axial and Proximal Muscle
10:41

Method to Measure Tone of Axial and Proximal Muscle

Published on: December 14, 2011

Related Experiment Videos

Last Updated: May 26, 2026

Operation of the Collaborative Composite Manufacturing (CCM) System
10:09

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Method to Measure Tone of Axial and Proximal Muscle
10:41

Method to Measure Tone of Axial and Proximal Muscle

Published on: December 14, 2011

Area of Science:

  • Physics
  • Complex Systems
  • Statistical Mechanics

Background:

  • Synchronization of self-propelled objects is crucial in various scientific and technological fields.
  • Existing models often explore inherent dynamics without explicit angle change restrictions.

Purpose of the Study:

  • To propose and investigate a novel synchronization model for self-propelled objects with restricted maximal angle changes.
  • To analyze the impact of this restriction on the overall system synchronization.
  • To identify critical parameters and optimal conditions for enhanced synchronization.

Main Methods:

  • A computational model was developed for self-propelled objects.
  • Each object adjusted its direction based on neighbors' average direction.
  • A cutoff angle, θ(R), was implemented to limit individual object angle changes.

Main Results:

  • Synchronization significantly improved as the maximal angle change, θ(R), decreased.
  • A critical restricted angle, θ(Rc), was identified, marking a transition in synchronization order.
  • For any given noise amplitude (η), an optimal θ(R) was found that maximizes synchronization.

Conclusions:

  • Restricting the maximal angle change is a counterintuitive yet effective strategy for improving synchronization in self-propelled systems.
  • The system exhibits a phase transition behavior at a critical angle, θ(Rc).
  • The existence of an optimal angle restriction suggests a tunable mechanism for controlling collective behavior in such systems.