関連する実験動画

Updated: Feb 20, 2026

Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment
08:24

Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment

Published on: May 2, 2025

1.1K

ストキャスティックサンプリングインターバルによる制限された排水処理プロセスのモデル予測制御

Hao-Yuan Sun, Jin-Xuan Li, Fang-Yu Li

    IEEE transactions on cybernetics
    |February 18, 2026
    PubMed
    まとめ

    新しいデータ駆動型予測制御 (DDMPC) 戦略により,予測不能なサンプリング時間にもかかわらず,廃水処理施設 (WWTP) での溶けた酸素濃度 (DOC) を安定させています. このアプローチは,システムの制約下で安定した動作を保証します.

    さらに関連する動画

    Comparison of Scale in a Photosynthetic Reactor System for Algal Remediation of Wastewater05:40

    Comparison of Scale in a Photosynthetic Reactor System for Algal Remediation of Wastewater

    Published on: March 6, 2017

    9.6K
    Interactive and Visualized Online Experimentation System for Engineering Education and Research08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    3.0K

    関連する概念動画

    Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

    Mechanistic Models: Compartment Models in Individual and Population Analysis

    Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
    288
    Typical Model Studies01:30

    Typical Model Studies

    Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
    646
    Introduction to Statistical Process Control01:15

    Introduction to Statistical Process Control

    Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
    674
    Time-Domain Interpretation of PD Control01:07

    Time-Domain Interpretation of PD Control

    Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
    Consider the example of control of motor torque. Initially, a positive...
    415
    Sampling Plans01:23

    Sampling Plans

    Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
    Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
    1.0K
    Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

    Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

    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...
    273