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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

81
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
81
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

129
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
129
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

93
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
93
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

96
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
96
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

236
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
236
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

182
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
182

You might also read

Related Articles

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

Sort by
Same author

Neuroelectrophysiological clinical exploration of reward expectation and sensitivity abnormalities in adolescent melancholic MDD.

Journal of affective disorders·2026
Same author

Associations of sleep duration and insomnia with cardiometabolic disease onset, multimorbidity, and mortality: A prospective study in 461,046 Chinese adults.

Sleep medicine·2026
Same author

Clinical characteristics and genetic features of patients with Wilson's disease in southwestern China.

Orphanet journal of rare diseases·2026
Same author

Association of lignan metabolites with prevalent stroke and mortality in stroke patients: results from NHANES.

Journal of clinical biochemistry and nutrition·2026
Same author

Organic fertilizer enhances microbial functional genes related to nitrogen and phosphorus cycling in rubber tree (<i>Hevea brasiliensis</i>) rhizosphere.

Frontiers in microbiology·2026
Same author

Genomic Evolution of <i>Siccibacter colletis</i>: Comparative Analysis and First Clinical Isolate Report.

Microorganisms·2026
Same journal

Application of ephrin-B2 loaded glycol chitosan-silk fibroin hydrogel in the treatment of diabetic refractory wounds.

Scientific reports·2026
Same journal

International expert Delphi consensus on thromboprophylaxis in metabolic and bariatric surgery.

Scientific reports·2026
Same journal

Assessing the cross-region knowledge transfer capability of selected deep learning building vectorization methods in the context of available training datasets.

Scientific reports·2026
Same journal

Feasibility and preliminary effects of outdoor versus indoor cognitive-motor therapy in women with Alzheimer's disease: A randomized single-blind pilot study.

Scientific reports·2026
Same journal

Hallmarks of social action in the vocal turn-taking of wild common marmosets (Callithrix jacchus).

Scientific reports·2026
Same journal

Role and mechanism of AOPPs-induced NOX4-mediated ferroptosis in intervertebral disc degeneration.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jul 19, 2025

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.2K

Adaptive filtering and smoothing algorithm based on variable structure interactive multiple model.

Kai-Yu Hu1,2, Jiaming Wang3, Yuqing Cheng3

  • 1The 304 Institute, China Aerospace Science and Industry Corporation, Beijing, 100074, People's Republic of China. hkywuyue@163.com.

Scientific Reports
|August 10, 2023
PubMed
Summary
This summary is machine-generated.

A new adaptive variable structure interactive multiple model filtering and smoothing (AVSIMMFS) algorithm enhances maneuvering target tracking. This method improves model matching and combines filtering and smoothing for superior accuracy and reduced computational cost.

More Related Videos

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
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

1.7K

Related Experiment Videos

Last Updated: Jul 19, 2025

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.2K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
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

1.7K

Area of Science:

  • Engineering
  • Computer Science
  • Signal Processing

Background:

  • Maneuvering target tracking is crucial for applications like defense and autonomous systems.
  • Existing algorithms often struggle with model mismatch and computational complexity.

Purpose of the Study:

  • To propose a novel adaptive variable structure interactive multiple model filtering and smoothing (AVSIMMFS) algorithm.
  • To improve the accuracy and efficiency of maneuvering target tracking.

Main Methods:

  • Establishing an accurate model for the variable structure interactive multiple model algorithm.
  • Constructing new model subsets to enhance matching accuracy with target maneuvering modes.
  • Applying forward filtering and backward smoothing to the new model subsets.

Main Results:

  • The AVSIMMFS algorithm demonstrates improved tracking accuracy compared to existing methods.
  • The proposed algorithm offers a lower calculation cost, enhancing efficiency.
  • Simulations in two cases validate the algorithm's effectiveness.

Conclusions:

  • The AVSIMMFS algorithm provides a significant advancement in maneuvering target tracking.
  • The combination of adaptive modeling, filtering, and smoothing leads to superior performance.
  • This algorithm is a promising solution for real-time tracking applications with computational constraints.