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

Mean free path and Mean free time01:22

Mean free path and Mean free time

5.3K
Consider the gas molecules in a cylinder. They move in a random motion as they collide with each other and change speed and direction. The average of all the path lengths between collisions is known as the "mean free path."
5.3K
Path Between Thermodynamics States01:21

Path Between Thermodynamics States

4.1K
Consider the two thermodynamic processes involving an ideal gas that are represented by paths AC and ABC in Figure 1:
4.1K
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

31.4K
Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
31.4K
Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

53.6K
Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
53.6K
Interference: Path Lengths01:10

Interference: Path Lengths

2.2K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
2.2K
Instrument Calibration01:12

Instrument Calibration

782
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
782

You might also read

Related Articles

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

Sort by
Same author

Deep active learning and knowledge transfer for rapid discovery of lithium metal battery electrolytes.

Nature communications·2026
Same author

Advancing genetic engineering with active learning: theory, implementations and potential opportunities.

Briefings in bioinformatics·2025
Same author

A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles.

Nature communications·2024
Same author

Realistic fault detection of li-ion battery via dynamical deep learning.

Nature communications·2023
Same author

Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel.

Nature·2023
Same author

Maximizing integrated optical and electrical properties of a single ZnO nanowire through native interfacial doping.

Advanced materials (Deerfield Beach, Fla.)·2014

Related Experiment Video

Updated: Feb 10, 2026

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
08:37

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

Published on: November 2, 2021

2.6K

Matrix factorization based instrumental variable approach for simultaneous identification of Bi-directional path

Benben Jiang1, Yi Luo1

  • 1College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

ISA Transactions
|May 14, 2018
PubMed
Summary

This study introduces a novel closed-loop system identification method integrating matrix factorization and generalized instrumental variable (GIV) techniques. The approach enhances parameter estimation accuracy for forward and backward path models using QR factorization.

Keywords:
Closed-loop identificationColored noiseInstrumental variable methodParameter estimationSystem identificationSystem modeling

More Related Videos

Author Spotlight: Accelerating Diagnostic Accuracy with Direct Identification of Gram-Negatives from Blood Culture Bottles
09:07

Author Spotlight: Accelerating Diagnostic Accuracy with Direct Identification of Gram-Negatives from Blood Culture Bottles

Published on: May 24, 2024

1.4K
Simultaneous EEG Monitoring During Transcranial Direct Current Stimulation
07:52

Simultaneous EEG Monitoring During Transcranial Direct Current Stimulation

Published on: June 17, 2013

40.4K

Related Experiment Videos

Last Updated: Feb 10, 2026

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
08:37

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

Published on: November 2, 2021

2.6K
Author Spotlight: Accelerating Diagnostic Accuracy with Direct Identification of Gram-Negatives from Blood Culture Bottles
09:07

Author Spotlight: Accelerating Diagnostic Accuracy with Direct Identification of Gram-Negatives from Blood Culture Bottles

Published on: May 24, 2024

1.4K
Simultaneous EEG Monitoring During Transcranial Direct Current Stimulation
07:52

Simultaneous EEG Monitoring During Transcranial Direct Current Stimulation

Published on: June 17, 2013

40.4K

Area of Science:

  • Control Systems Engineering
  • Signal Processing
  • System Identification

Background:

  • Accurate system identification is crucial for control system design and analysis.
  • Existing methods often struggle with simultaneous parameter and order estimation in closed-loop systems.
  • Generalized Instrumental Variable (GIV) methods offer potential but require careful instrument construction.

Purpose of the Study:

  • To propose a novel closed-loop system identification approach.
  • To simultaneously identify parameters and orders for forward and backward path models.
  • To enhance identification performance through optimized instrument design and weighting matrices.

Main Methods:

  • Integration of matrix factorization (specifically QR factorization) with Generalized Instrumental Variable (GIV) techniques.
  • Development of a closed-loop identification framework.
  • Analysis of instrument construction, number of instruments, and weighting matrices for optimal performance.

Main Results:

  • The proposed GIV-based method utilizes QR factorization for improved numerical properties.
  • Identification accuracy is analyzed through the covariance matrix of parameter estimates.
  • A sufficient condition for consistent parameter estimates is established.

Conclusions:

  • The developed closed-loop identification approach effectively integrates matrix factorization and GIV methods.
  • The method demonstrates enhanced identification performance and accuracy.
  • Simulation results validate the effectiveness of the proposed system identification technique.