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adaptive feedback

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "adaptive feedback" is correct and usable in written English.
It can be used in contexts related to learning, technology, or systems that adjust based on input or performance. Example: "The software utilizes adaptive feedback to improve user experience by learning from individual interactions."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Figure 6 The evolution of the adaptive feedback gains.

In this method, the adaptive feedback gain equations are replaced with the values of coupling coefficients.

In the simulation, we add the adaptive feedback controllers to the first, second, and fifth nodes.

Section 4 studies the lag synchronization by linear and adaptive feedback control.

Some appropriate parameters analysis and update laws are found via the adaptive feedback control techniques.

The unidirectional (bidirectional) coupled system will synchronize by adding three adaptive feedback gain equations.

Figure 5 Asymptotic stabilization of system ( 4.6 ) with adaptive feedback gains.

In this section, we select one adaptive feedback gain equation to reach for the goal.

An adaptive feedback controller is proposed for the SDNNs with Markovian switching.

This method can avoid the difficulty of designing the adaptive feedback gain equations.

However, the adaptive feedback control with mixed time-varying delays was not considered in feedback control.

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Expert writing Tips

Best practice

When describing a system that learns and adjusts over time, use "adaptive feedback" to highlight its ability to improve based on past performance.

Common error

Avoid using "adaptive feedback" when the system merely reacts to immediate changes without learning or improving over time. In such cases, consider using terms like "responsive feedback" or "reactive control" instead.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.5/5

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Real-world application tested

Linguistic Context

The phrase "adaptive feedback" functions primarily as a noun phrase, where "adaptive" modifies "feedback". It describes a type of feedback mechanism that adjusts its parameters or behavior in response to changing conditions or performance. Ludwig AI shows many scientific examples where the phrase is used to define control strategies.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "adaptive feedback" is a noun phrase widely used in scientific and technical fields to describe systems that adjust their feedback mechanisms over time. Ludwig AI confirms that the phrase is grammatically correct and commonly found in scientific literature, describing control strategies. The term is valued for its ability to describe systems that can respond dynamically to changing conditions. Alternative phrases such as "responsive feedback" or "dynamic feedback" can be used to convey similar meanings, but "adaptive feedback" specifically highlights the learning and self-improvement aspects of the feedback process. When employing "adaptive feedback" in writing, it's essential to ensure the context accurately reflects a system capable of learning and evolving, rather than simply reacting to immediate inputs.

FAQs

How is "adaptive feedback" used in control systems?

"Adaptive feedback" is used in control systems to dynamically adjust control parameters based on the system's performance, allowing it to maintain stability and achieve desired outcomes even when system parameters are uncertain or time-varying.

What's the difference between "adaptive feedback" and standard feedback?

Standard feedback uses fixed parameters, while "adaptive feedback" adjusts its parameters over time based on the system's performance. This makes "adaptive feedback" more robust to changes and uncertainties.

When is it appropriate to use "adaptive feedback"?

It's appropriate when dealing with systems where conditions change, parameters are unknown, or optimal performance requires continual adjustment. It is often used in control systems, signal processing, and machine learning.

What are some alternatives to using the term "adaptive feedback"?

Depending on the context, you could use terms like "responsive feedback", "dynamic feedback", or "self-adjusting feedback".

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