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相关概念视频

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
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
Control Systems: Applications01:25

Control Systems: Applications

1.1K
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...
1.1K
Feedback control systems01:26

Feedback control systems

694
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...
694
Root Loci for Positive-Feedback Systems01:23

Root Loci for Positive-Feedback Systems

337
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...
337
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

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相关实验视频

Updated: Jan 23, 2026

Mechanical Control of Relaxation Using Intact Cardiac Trabeculae
07:51

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双事件触发的多项式动态输出控制正模糊系统通过IT2成员函数放松方法的积极模糊系统.

Xiaoxiao Wang, Zhiyong Bao, Xiaomiao Li

    IEEE transactions on cybernetics
    |January 21, 2026
    PubMed
    概括

    本研究介绍了双事件触发 (DET) 机制和多项式动态输出反 (PDOF) 控制器,用于正多项式模糊系统 (PPFS). 一个改进的遗传算法 (IGA) 扩大了触发范围并降低了频率,提高了系统性能.

    科学领域:

    • 控制系统工程 控制系统工程
    • 模糊系统理论 模糊系统理论
    • 非线性控制是指非线性控制.

    背景情况:

    • 积极多项式模糊系统 (PPFS) 在控制设计中存在独特的挑战,原因是固有的积极性约束.
    • 不确定性和干扰约束需要对PPFS进行强有力的控制策略.
    • 事件触发控制机制提供了减少通信和计算负载的潜力.

    研究的目的:

    • 共同设计双事件触发 (DET) 机制和多项式动态输出反 (PDOF) 控制器,用于不确定的PPFS.
    • 在干扰约束下确保$L_{1}$增益性能和严格的积极性.
    • 通过扩大允许的DET值范围来克服现有方法的保守性.

    主要方法:

    • 建议使用1标准的DET机制以异步更新测量输出和PDOF控制信号,确保与PPFS阳性的兼容性.
    • 引入了辅助变量和约束,以推导DET-PDOF控制器解决方案的足够条件.
    • 基于改进的遗传算法 (IGA) 的多变量优化方法被开发来优化DET值和控制器变量.

    主要成果:

    • 为DET-PDOF控制器的存在建立了足够的条件,保证了$L_{1}$-gain性能和严格的积极性.
    • 拟议的基于IGA的方法有效地扩大了允许的DET值范围,减轻了保守性.

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  • 这种方法显示了对双触发频率的显著抑制,从而提高了传输性能.
  • 结论:

    • 对于不确定的PPFS,DET机制和PDOF控制器的共同设计是可行的,确保稳定性和性能.
    • 基于IGA的优化显著提高了PPFS事件触发控制的适用性和效率.
    • 通过数值和实践示例的验证证实了拟议的控制方案的有效性.