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関連する概念動画

Linear time-invariant Systems01:23

Linear time-invariant Systems

920
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
920
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

928
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
928
Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

3.5K
A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
3.5K
Systems of Linear Equations in Two Variables01:25

Systems of Linear Equations in Two Variables

307
Solving a system of linear equations is a fundamental concept in algebra. A system of equations consists of two or more linear equations involving the same set of variables. One of the most efficient algebraic methods for solving such systems is the substitution method. This technique involves expressing one variable in terms of the other from one equation and substituting it into the second equation. This method is particularly useful when one of the equations is easily rearranged.Consider the...
307
The Integrated Rate Law: The Dependence of Concentration on Time02:39

The Integrated Rate Law: The Dependence of Concentration on Time

41.6K
While the differential rate law relates the rate and concentrations of reactants, a second form of rate law called the integrated rate law relates concentrations of reactants and time. Integrated rate laws can be used to determine the amount of reactant or product present after a period of time or to estimate the time required for a reaction to proceed to a certain extent. For example, an integrated rate law helps determine the length of time a radioactive material must be stored for its...
41.6K
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

373
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
373

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Updated: Feb 2, 2026

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
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サイクリック遅延を伴う線形時間遅延システムの遅延および遅延微分依存安定性解析

Xinzuo Ma1, Yiwen Luo1, SeakWeng Vong1

  • 1Department of Mathematics, University of Macau, Avenida da Universidade, Macau, China.

ISA transactions
|January 31, 2026
PubMed
まとめ

この研究は、サイクリック遅延を伴う線形システムを分析するための新しい方法を提示し、新しいLyapunov-Krasovskii汎関数と新しい負定値条件を使用して安定性基準を改善します。この結果は、複雑な遅延パターンを持つシステムの安定性分析の保守性を低下させます。

科学分野:

  • 制御理論
  • システム工学
  • 応用数学

背景:

  • 安定性解析は線形システム、特に時間遅延を伴うシステムにとって重要です。
  • 交互に増加および減少する区間を持つサイクリック遅延は、安定性解析において特有の課題をもたらします。
  • 既存の手法は、複雑な遅延プロファイルを持つシステムに対して保守的である可能性があります。

研究 の 目的:

  • サイクリック遅延を伴う線形システムの保守性の低い安定性基準を開発すること。
  • サイクリック遅延特性に合わせて調整された新しいLyapunov-Krasovskii汎関数(LKF)を導入すること。
  • 安定性分析を改善するための高度な数学的条件を統合すること。

主な方法:

  • 遅延積項を用いた2ループLyapunov-Krasovskii汎関数の構築。
  • 新しい遅延微分依存不等式の開発。
  • 一般化二変数行列多項式に対する新しい負定値条件(NDC)の適用。
  • 安定性基準を線形行列不等式(LMI)として定式化すること。

主要な成果:

  • LMI形式の新しい安定性基準を導出しました。
  • 提案手法は、異なる遅延単調性区間を効果的に利用します。
キーワード:
遅延微分依存不等式一般化二変数行列多項式線形行列不等式Lyapunov-Krasovskii汎関数負定値条件

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  • 数値例により、既存手法と比較して保守性が低減されていることが確認されました。
  • 結論:

    • 開発された安定性基準は、サイクリック遅延を伴う線形システムに大幅な改善をもたらします。
    • 新しいアプローチは、制御システムにおける安定性分析の精度と適用性を向上させます。
    • この研究は、時間遅延システムを扱うエンジニアや研究者にとって貴重なツールを提供します。