coefficient of feedback

简明释义

反馈系数

英英释义

The coefficient of feedback refers to a numerical value that quantifies the effect of feedback in a system, often used in control systems and signal processing to determine how much output is fed back into the input.

反馈系数是指一个数值,用于量化系统中反馈的效果,通常用于控制系统和信号处理,以确定输出反馈到输入的程度。

例句

1.Understanding the coefficient of feedback helps in designing more efficient circuits.

理解反馈系数有助于设计更高效的电路。

2.The engineer adjusted the coefficient of feedback to improve the response time of the system.

工程师调整了反馈系数以改善系统的响应时间。

3.The coefficient of feedback was calculated to ensure optimal performance of the amplifier.

计算了反馈系数以确保放大器的最佳性能。

4.In control systems, the coefficient of feedback is crucial for maintaining stability.

在控制系统中,反馈系数对于维持稳定性至关重要。

5.A high coefficient of feedback can lead to oscillations in a closed-loop system.

反馈系数可能导致闭环系统中的振荡。

作文

In the realm of control systems and engineering, the term coefficient of feedback refers to a crucial parameter that quantifies the relationship between the output of a system and its input. This concept is fundamental in understanding how systems can be stabilized or destabilized based on their feedback mechanisms. Essentially, the coefficient of feedback is a measure of how much of the output is fed back into the system as input, influencing its future behavior. To illustrate the importance of the coefficient of feedback, consider a simple example of a thermostat used to regulate room temperature. When the temperature drops below a set point, the thermostat activates the heating system. The coefficient of feedback in this scenario determines how aggressively the heating system responds to changes in temperature. If the coefficient is high, the heater will turn on strongly and quickly raise the temperature back to the desired level. Conversely, if the coefficient is low, the heater may respond more slowly, leading to fluctuations in temperature that may not stabilize effectively. The implications of the coefficient of feedback extend beyond just mechanical systems; they are also relevant in various fields such as economics, biology, and even social sciences. For example, in economics, the feedback mechanism can be seen in market responses to supply and demand. A high feedback coefficient might indicate a rapid adjustment of prices based on consumer behavior, while a low coefficient could suggest a lag in response, potentially leading to market inefficiencies. In biological systems, feedback loops play a vital role in homeostasis. Hormonal regulation often involves feedback mechanisms where the coefficient of feedback determines how much hormone is released in response to changes in the body’s internal environment. For instance, in the case of insulin and blood sugar levels, the feedback mechanism is critical for maintaining balance. A malfunction in this feedback loop can lead to conditions such as diabetes, highlighting the importance of understanding the coefficient of feedback in health sciences. Moreover, the coefficient of feedback is essential in designing systems that require optimal performance. Engineers and scientists utilize this concept to create models that predict how systems will behave under various conditions. By adjusting the coefficient of feedback, they can enhance system stability, responsiveness, and efficiency. This is particularly important in areas such as robotics, where precise control is necessary for the effective operation of machines. In conclusion, the coefficient of feedback is a pivotal concept that spans multiple disciplines, influencing how systems react to changes and maintain stability. Understanding this coefficient allows for better design and control of systems, whether they be mechanical, biological, or economic. As we continue to advance in technology and science, the significance of the coefficient of feedback will only grow, underscoring the need for a deep comprehension of feedback mechanisms in our increasingly complex world.

在控制系统和工程领域,术语反馈系数指的是一个关键参数,它量化了系统输出与输入之间的关系。这个概念对于理解系统如何基于其反馈机制实现稳定或不稳定至关重要。基本上,反馈系数是衡量输出多少被反馈到系统作为输入,从而影响其未来行为的一个指标。为了说明反馈系数的重要性,考虑一个用于调节室内温度的恒温器的简单例子。当温度降到设定值以下时,恒温器会激活加热系统。在这种情况下,反馈系数决定了加热系统对温度变化的反应强度。如果系数较高,加热器将会迅速且强烈地开启,将温度提高到所需水平。相反,如果系数较低,加热器可能会反应较慢,导致温度波动,可能无法有效稳定。反馈系数的影响不仅限于机械系统;它们在经济学、生物学甚至社会科学等多个领域也相关。例如,在经济学中,反馈机制可以在供需市场的反应中看到。高反馈系数可能表明价格会根据消费者行为快速调整,而低系数则可能表明反应滞后,潜在地导致市场效率低下。在生物系统中,反馈回路在体内稳态中起着至关重要的作用。激素调节通常涉及反馈机制,其中反馈系数决定了在体内环境变化时释放多少激素。例如,在胰岛素和血糖水平的情况下,反馈机制对维持平衡至关重要。此反馈回路的故障可能导致糖尿病等疾病,这突显了在健康科学中理解反馈系数的重要性。此外,反馈系数在设计需要最佳性能的系统中也至关重要。工程师和科学家利用这个概念创建预测系统在各种条件下行为的模型。通过调整反馈系数,他们可以增强系统的稳定性、响应性和效率。这在机器人技术等领域尤为重要,因为精确控制对于机器的有效操作是必要的。总之,反馈系数是一个关键概念,跨越多个学科,影响系统如何对变化做出反应并维持稳定。理解这一系数可以更好地设计和控制系统,无论是机械的、生物的还是经济的。随着我们在技术和科学上的不断进步,反馈系数的重要性只会增加,这强调了在我们日益复杂的世界中深入理解反馈机制的必要性。