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

Random Sampling Method01:09

Random Sampling Method

14.8K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
14.8K
Coordination Number and Geometry02:57

Coordination Number and Geometry

19.1K
For transition metal complexes, the coordination number determines the geometry around the central metal ion. Table 1 compares coordination numbers to molecular geometry. The most common structures of the complexes in coordination compounds are octahedral, tetrahedral, and square planar.
19.1K
Coordination Compounds and Nomenclature02:54

Coordination Compounds and Nomenclature

26.8K
In most main group element compounds, the valence electrons of the isolated atoms combine to form chemical bonds that satisfy the octet rule. For instance, the four valence electrons of carbon overlap with electrons from four hydrogen atoms to form CH4. The one valence electron leaves sodium and adds to the seven valence electrons of chlorine to form the ionic formula unit NaCl (Figure 1a). Transition metals do not normally bond in this fashion. They primarily form coordinate covalent bonds, a...
26.8K
The Periodic Table03:25

The Periodic Table

116.5K
As early chemists discovered more elements, they realized that various elements could be grouped by their similar chemical behaviors. One such grouping includes lithium (Li), sodium (Na), and potassium (K). All of these elements are shiny, conduct heat and electricity well, and have similar chemical properties. A second grouping includes calcium (Ca), strontium (Sr), and barium (Ba), which also are shiny, good conductors of heat and electricity, and have chemical properties in common. However,...
116.5K
Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

11.7K
The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...
11.7K
Periodic Classification of the Elements04:00

Periodic Classification of the Elements

59.3K
The periodic table arranges atoms based on increasing atomic number so that elements with the same chemical properties recur periodically. When their electron configurations are added to the table, a periodic recurrence of similar electron configurations in the outer shells of these elements is observed. Because they are in the outer shells of an atom, valence electrons play the most important role in chemical reactions. The outer electrons have the highest energy of the electrons in an atom...
59.3K

You might also read

Related Articles

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

Sort by
Same author

Association between the C-reactive protein-triglyceride-glucose index and incident cardiovascular disease in middle-aged and older adults with arthritis: a nationwide prospective cohort study with hospital-based cross-sectional replication.

Frontiers in immunology·2026
Same author

Efficient dynamic cooperative deployment and task scheduling in multi-UAV-assisted MEC for dense dynamic environments.

Scientific reports·2026
Same author

Metal-Organic Framework as a Bioorthogonal Catalyst for Gene Editing.

Journal of the American Chemical Society·2026
Same author

Charge-Competition AIEgens Induce Mitochondrial Dysfunction for Selective Eradication of <i>Candida albicans</i> while Restoring Vaginal Microbiota.

Journal of microbiology and biotechnology·2026
Same author

Unidirectional spectral singularity lasing in a defective atomic lattice.

Optics express·2026
Same author

Unidirectional reflection lasing via microwave modulation in defective atomic lattice.

Optics express·2026
Same journal

An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models.

IEEE transactions on cybernetics·2026
Same journal

A Quantum Self-Attention Neural Network Model on Quantum Circuits.

IEEE transactions on cybernetics·2026
Same journal

Semi-Explicit Solution of Some Discrete-Time Higher-Order-Cost Mean-Field-Type Control.

IEEE transactions on cybernetics·2026
Same journal

A Novel One-Step Small Object Detector for Autonomous Aerial Vehicles.

IEEE transactions on cybernetics·2026
Same journal

Online Data-Driven-Based Optimal Output Tracking Control Without Initial Stabilizing Policy.

IEEE transactions on cybernetics·2026
Same journal

Digital Redesign-Based Interval State Estimation for Continuous Systems With Aperiodic Discrete Measurements.

IEEE transactions on cybernetics·2026
See all related articles

Related Experiment Video

Updated: Feb 8, 2026

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain
03:26

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain

Published on: March 8, 2024

3.6K

GA-Enhanced Control for Autonomous Vehicles: Coordinating FlexRay Protocol Under Randomly Perturbed Sampling Periods.

Aogui Hu, Zhiru Cao, Hak-Keung Lam

    IEEE Transactions on Cybernetics
    |February 6, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a novel fuzzy controller for autonomous vehicle lateral dynamics, addressing random sampling and FlexRay communication issues. The controller ensures stability and performance in complex communication environments.

    More Related Videos

    Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management
    03:53

    Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management

    Published on: March 15, 2024

    2.9K
    Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
    07:49

    Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

    Published on: November 26, 2019

    8.5K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain
    03:26

    Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain

    Published on: March 8, 2024

    3.6K
    Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management
    03:53

    Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management

    Published on: March 15, 2024

    2.9K
    Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
    07:49

    Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

    Published on: November 26, 2019

    8.5K

    Area of Science:

    • Control Systems Engineering
    • Automotive Engineering
    • Robotics

    Background:

    • Autonomous vehicle control is challenged by random sampling periods and complex communication protocols like FlexRay.
    • Vehicle nonlinearities and variable velocities require sophisticated modeling approaches.

    Purpose of the Study:

    • To develop a robust lateral dynamics control strategy for autonomous vehicles.
    • To address challenges posed by randomly perturbed sampling (RPS) and the FlexRay communication protocol (FRP).

    Main Methods:

    • A T-S fuzzy model was constructed to capture vehicle nonlinearities under variable velocities.
    • A Markovian process modeled random sampling behavior, and a unified compensation strategy handled FlexRay's hybrid scheduling.
    • A sampling-mode-dependent fuzzy controller was designed using asynchronous constraint techniques.

    Main Results:

    • The proposed controller guarantees stochastic stability and H-infinity performance for the closed-loop system.
    • A genetic algorithm was used to solve a comprehensive optimization problem for controller design.
    • Simulation results validated the effectiveness and superiority of the control strategy.

    Conclusions:

    • The developed control strategy effectively manages lateral dynamics in autonomous vehicles under challenging communication conditions.
    • The approach provides a robust solution for integrating advanced control with real-world communication constraints.