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関連する概念動画

Feedback control systems01:26

Feedback control systems

685
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...
685
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.6K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.6K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

384
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 of...
384
Control Systems01:10

Control Systems

1.8K
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...
1.8K
Transfer Function in Control Systems01:21

Transfer Function in Control Systems

1.5K
The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
1.5K
Root Loci for Positive-Feedback Systems01:23

Root Loci for Positive-Feedback Systems

318
The Hartley oscillator is a positive feedback system that sustains oscillations by feeding the output back to the input in phase, thereby reinforcing the signal. Positive feedback systems can be viewed as negative feedback systems with inverted feedback signals. In these systems, the root locus encompasses all points on the s-plane where the angle of the system transfer function equals 360 degrees.
The construction rules for the root locus in positive feedback systems are similar to those in...
318

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関連する実験動画

Updated: Jan 14, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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非線形ネットワークシステムのためのクリティック学習を伴うハイブリッドイベントトリガー追跡制御

Ding Wang, Lingzhi Hu, Dongbin Zhao

    IEEE transactions on cybernetics
    |January 12, 2026
    PubMed
    まとめ
    この要約は機械生成です。

    新しいハイブリッドイベントトリガー（ET）制御フレームワークは、非線形ネットワーク制御システムにおける追跡を最適化します。この方法は、適応型クリティックを使用し、連続トリガーを減らすことでネットワークリソースを節約し、システム安定性を向上させます。

    キーワード:
    イベントトリガー制御ネットワーク制御システム非線形システム適応型クリティック学習最適追跡

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    科学分野:

    • 制御システム工学
    • ネットワークシステム
    • 非線形ダイナミクス

    背景:

    • ネットワーク制御システム（NCS）は、帯域幅の制限と安定性の課題に直面しています。
    • 最適な追跡は、多くのNCSアプリケーションにとって重要です。
    • 従来のイベントベース制御では、連続的な条件評価が必要であり、リソースを消費します。

    研究 の 目的:

    • 離散時間非線形NCSのための新しいハイブリッドイベントトリガー（ET）制御フレームワークを開発すること。
    • ネットワークリソースを節約しながら、最適な追跡問題に対処すること。
    • 誤差システムの安定性を確保すること。

    主な方法:

    • システム状態と参照軌道を組み合わせた拡張プラントを構築しました。
    • イベントサイレンスのための一定間隔を持つハイブリッドETメカニズムを開発しました。
    • モデル、クリティック、アクションネットワークを使用したオンライン適応型クリティックアルゴリズムを実装しました。

    主要な成果:

    • 最適な追跡問題を最適なレギュレーション問題に変換しました。
    • 限られたネットワーク帯域幅を緩和し、連続トリガー条件評価を排除しました。
    • 追跡制御ポリシーをリアルタイムで最適なレベルに調整できることを実証しました。

    結論:

    • 提案されたハイブリッドET制御フレームワークは、非線形NCSにおける最適な追跡に効果的に対処します。
    • この方法は、ネットワークリソースを節約し、システム安定性を向上させます。
    • 適応型クリティック技術により、制御ポリシーのリアルタイム最適化が可能になります。