関連する実験動画

Updated: Feb 15, 2026

Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach
07:16

Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach

Published on: April 25, 2025

825

アダプティブ・イテレティブ・ラーニング 複数のイテレーション・バリエーションのパラメトリックの不確実性を持つ非反復的なシステムの信頼性の高い制御

Yong Chen, Deqing Huang, Xuefang Li

    IEEE transactions on cybernetics
    |February 13, 2026
    PubMed
    まとめ

    この研究は,以前の制限を克服し,非反復的なシステムのための適応的反復学習制御スキームを導入します. この新しい方法は,不確実性,アクチュエータの故障,状態の遅延を効果的に処理し,実用的なアプリケーションを改善します.

    さらに関連する動画

    Iterative Bleaching Extends Multiplicity with Use of Staining Automation for Core Facilities04:52

    Iterative Bleaching Extends Multiplicity with Use of Staining Automation for Core Facilities

    Published on: August 6, 2025

    611
    Reusable Single Cell for Iterative Epigenomic Analyses10:28

    Reusable Single Cell for Iterative Epigenomic Analyses

    Published on: February 11, 2022

    1.7K

    関連する概念動画

    Multiple Pipe Systems01:21

    Multiple Pipe Systems

    Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
    Series Configuration
    In a series configuration, fluid flows sequentially from one pipe...
    1.2K
    The Uncertainty Principle04:08

    The Uncertainty Principle

    Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
    33.2K
    Control Systems01:10

    Control Systems

    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...
    1.9K
    Uncertainty in Measurement: Reading Instruments02:46

    Uncertainty in Measurement: Reading Instruments

    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...
    54.2K
    Control Systems: Applications01:25

    Control Systems: Applications

    Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
    In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
    1.2K
    Feedback control systems01:26

    Feedback control systems

    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...
    732