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

Feedback control systems01:26

Feedback control systems

292
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
292
Effects of feedback01:24

Effects of feedback

525
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
525
Control Systems01:10

Control Systems

1.1K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.1K
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

84
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
84
Open and closed-loop control systems01:17

Open and closed-loop control systems

660
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
660
Controller Configurations01:22

Controller Configurations

87
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
87

You might also read

Related Articles

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

Sort by
Same author

Superluminal correlations in ensembles of optical phase singularities.

Nature·2026
Same author

Roadmap for Photonics with 2D Materials.

ACS photonics·2025
Same author

Near-field photon entanglement in total angular momentum.

Nature·2025
Same author

Four-dimensional conserved topological charge vectors in plasmonic quasicrystals.

Science (New York, N.Y.)·2025
Same author

Free-electron Ramsey-type interferometry for enhanced amplitude and phase imaging of nearfields.

Science advances·2023
Same author

Topological Transitions and Surface Umklapp Scattering in Weakly Modulated Periodic Metasurfaces.

Nano letters·2023
Same journal

Investigating degradation mechanisms in organic light-emitting diodes using operando electrically pumped spectroscopy.

Light, science & applications·2026
Same journal

Two-photon 3D imaging of optically stimulated neural activity at 100 Hz.

Light, science & applications·2026
Same journal

Quasi-bound states in the continuum driven photoresponse in multiple quantum wells for machine vision.

Light, science & applications·2026
Same journal

Spin-photon qubits for scalable quantum network.

Light, science & applications·2026
Same journal

Dual-mode switchable and reconfigurable Van der Waals phototransistor for multi-state image encryption.

Light, science & applications·2026
Same journal

Weak polarization electric field â…¢-N LEDs on polar plane with enhanced efficiency and strong lateral carrier confinement.

Light, science & applications·2026
See all related articles

Related Experiment Video

Updated: Jun 9, 2025

Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

7.8K

Dynamic control and manipulation of near-fields using direct feedback.

Jacob Kher-Aldeen1, Kobi Cohen1, Stav Lotan1

  • 1The Andrew & Erna Viterbi Faculty of Electrical & Computer Engineering, Technion-Israel Institute of Technology, Haifa, 3200003, Israel.

Light, Science & Applications
|October 23, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces real-time feedback for controlling nanoscale electromagnetic fields, enabling precise manipulation and correction of light patterns for advanced optical devices and fundamental research.

More Related Videos

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.3K
Hand Controlled Manipulation of Single Molecules via a Scanning Probe Microscope with a 3D Virtual Reality Interface
11:00

Hand Controlled Manipulation of Single Molecules via a Scanning Probe Microscope with a 3D Virtual Reality Interface

Published on: October 2, 2016

9.0K

Related Experiment Videos

Last Updated: Jun 9, 2025

Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

7.8K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.3K
Hand Controlled Manipulation of Single Molecules via a Scanning Probe Microscope with a 3D Virtual Reality Interface
11:00

Hand Controlled Manipulation of Single Molecules via a Scanning Probe Microscope with a 3D Virtual Reality Interface

Published on: October 2, 2016

9.0K

Area of Science:

  • Nanophotonics and Plasmonics
  • Optical Engineering
  • Light-Matter Interactions

Background:

  • Precise control of electromagnetic fields at the nanoscale is crucial for optical communications, sensing, and metrology.
  • Real-time feedback is essential for active control of light, compensating for experimental variations and device imperfections.
  • Traditional scanning near-field microscopy lacks the speed for real-time feedback, unlike scattering-based methods.

Purpose of the Study:

  • To demonstrate active control over nanophotonic near-fields using real-time feedback.
  • To enable precise manipulation and correction of nanoscale optical patterns.
  • To advance applications in nanoscale optical manipulation and quantum technologies.

Main Methods:

  • Utilizing far-field wavefront shaping to control surface wave patterns.
  • Implementing real-time near-field imaging for direct feedback.
  • Employing active feedback loops for pattern correction and manipulation.

Main Results:

  • Demonstrated translation and splitting of near-field focal spots with nanometer precision.
  • Achieved active toggling of different near-field angular momenta.
  • Successfully corrected nanophotonic patterns degraded by structural defects using real-time feedback.

Conclusions:

  • Simultaneous shaping and observation of nanophotonic fields are now achievable.
  • This technique offers significant potential for nanoscale optical manipulation and addressing quantum emitters.
  • The developed method paves the way for near-field adaptive optics and improved device performance.