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

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...
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
Load-frequency control01:28

Load-frequency control

Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
Maximizing the Directional Derivative01:25

Maximizing the Directional Derivative

The directional derivative is a central concept in multivariable calculus that describes how a function changes at a given point when moving in a specified direction. This direction is represented by a unit vector, ensuring that only the orientation influences the rate of change. By varying the direction, different rates of change can be observed, demonstrating that the directional derivative depends strongly on the chosen direction.The directional derivative is computed using the gradient...
Lagrange Multipliers: One Constraint01:29

Lagrange Multipliers: One Constraint

In constrained optimization, the objective is to maximize or minimize a quantity while satisfying a fixed condition. A standard example is a rectangular pen built against a barn wall using 100 meters of fencing. Because the wall provides one side of the enclosure, only the other three sides require fencing. The problem is to find the dimensions that produce the greatest possible area.Let L represent the length parallel to the wall and W the width perpendicular to it. The area of the pen is A =...
Lagrange Multipliers: Two Constraints01:28

Lagrange Multipliers: Two Constraints

The method of Lagrange multipliers with two constraints is used to optimize a function subject to two independent constraints. In many applications, the objective function represents a quantity to be maximized or minimized, such as cost, area, distance, or energy. The two constraints represent requirements that the solution must satisfy, such as fixed volume, limited resources, or prescribed dimensions.For a function of three variables, each constraint forms a surface in three-dimensional space.

You might also read

Related Articles

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

Sort by
Same author

Visible-Light-Mediated Three-Component Minisci-Type Reaction of 4-Cyanopyridines.

Organic letters·2025
Same author

Gastric bezoar entering the duodenum causing intestinal obstruction: A case report.

Medicine·2025
Same author

Dysregulation of chromatin remodeling genes predicts clinical outcomes in acute myeloid leukemia.

Journal of the Formosan Medical Association = Taiwan yi zhi·2025
Same author

Development of paper-based electrochemiluminescence test strips for pathogenic microorganisms.

BMC infectious diseases·2025
Same author

Mpox containment strategies in China, 2022-2023: from preparedness to legal management.

BMJ global health·2025
Same author

Alveolar Rhabdomyosarcoma With Bone Marrow Metastases and Disseminated Intravascular Coagulation Mimicking Acute Lymphoblastic Leukemia: A Case Report.

Cureus·2025
Same journal

Composite fault-tolerant predictive control strategy for PMSM demagnetization faults.

ISA transactions·2026
Same journal

Bias-compensated Q-learning for optimal tracking control under denial-of-service attacks.

ISA transactions·2026
Same journal

Motion prediction for leader manipulator of teleoperation system with large time delay based on inverse optimal control.

ISA transactions·2026
Same journal

Neural network parameter identification-based prescribed-time adaptive control for morphing glide aircraft.

ISA transactions·2026
Same journal

Nonlinear system-guided continuous-time generalization for cross-aircraft engine state monitoring.

ISA transactions·2026
Same journal

Predefined-time distributed optimal formation control for constrained UAV-UGV systems.

ISA transactions·2026
See all related articles

Related Experiment Video

Updated: Jun 23, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.7K

A generalized maximum correntropy based constraint adaptive filtering: Constraint-forcing and performance analyses.

Ji Zhao1, Wenyue Li1, Qiang Li1

  • 1School of Information Engineering, Southwest University of Science and Technology, Mianyang, Sichuan 621010, PR China.

ISA Transactions
|December 22, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a robust adaptive filtering algorithm, the constraint-forcing generalized maximum correntropy (CFFF-RCGMC), designed to overcome limitations of traditional methods in noisy environments. CFFF-RCGMC demonstrates superior stability and performance in system identification tasks.

Keywords:
Adaptive filteringGeneralized correntropyLinear constraintOutlierSystem identification

More Related Videos

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

3.8K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K

Related Experiment Videos

Last Updated: Jun 23, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.7K
Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

3.8K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K

Area of Science:

  • Signal Processing
  • Adaptive Filtering
  • Robust Statistics

Background:

  • Quadratic cost functions like mean-square-error lack robustness against impulsive noise.
  • Generalized Maximum Correntropy (GMC) offers a robust nonlinear similarity measure, outperforming traditional methods in noisy conditions.

Purpose of the Study:

  • Develop a stable and robust recursive adaptive filtering algorithm for non-Gaussian noise environments.
  • Address the divergence issues in existing algorithms due to round-off errors.

Main Methods:

  • Introduced a forgetting factor into the recursive generalized maximum correntropy (FF-RCGMC) algorithm.
  • Integrated a constraint-forcing strategy to enhance stability, creating the robust type constraint-forcing FF-RCGMC (CFFF-RCGMC).
  • Conducted mean and mean-square stability analyses and explored transient/steady-state characteristics.

Main Results:

  • The proposed CFFF-RCGMC algorithm exhibits enhanced stability compared to its counterparts.
  • Simulations for system identification in non-Gaussian noise demonstrate the excellent performance of CFFF-RCGMC.
  • The constraint-forcing strategy effectively mitigates divergence issues caused by round-off errors.

Conclusions:

  • CFFF-RCGMC provides a stable and robust solution for adaptive filtering in impulsive noise.
  • The algorithm is particularly effective for system identification tasks in challenging non-Gaussian environments.
  • The developed method offers significant improvements over existing adaptive filtering techniques.