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Related Concept Videos

Effects of feedback01:24

Effects of feedback

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Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
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Downsampling01:20

Downsampling

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
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Deconvolution01:20

Deconvolution

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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Block Diagram Reduction01:22

Block Diagram Reduction

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The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
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Feedback Loops01:01

Feedback Loops

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In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
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Updated: Jul 12, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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A double-decomposition based parallel exact algorithm for the feedback length minimization problem.

Zhen Shang1, Jin-Kao Hao2, Fei Ma1

  • 1School of Economics and Management, Chang'an University, Xi'an, China.

Peerj. Computer Science
|October 23, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel algorithm for optimizing product development project schedules by minimizing feedback loops. The new method efficiently finds the best activity sequence, reducing delays and costs.

Keywords:
Branch-and-prune algorithmDesign structure matrixParallel exact algorithmProduct development

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Area of Science:

  • Operations Research
  • Project Management
  • Computer Science

Background:

  • Product development projects involve complex, interrelated activities with dependencies.
  • These interdependencies often lead to rework, project delays, and cost overruns.
  • Efficient scheduling of activities is crucial for project managers to mitigate negative impacts.

Purpose of the Study:

  • To develop an effective algorithm for determining the optimal sequence of interrelated activities.
  • To minimize the total feedback length (FLMP) in product development projects.
  • To enhance computational efficiency and scalability for complex scheduling problems.

Main Methods:

  • A double-decomposition based parallel branch-and-prune algorithm was developed.
  • The algorithm decomposes the FLMP problem from two perspectives for concurrent subproblem solving.
  • Result-compression and hash-address strategies were incorporated to improve performance.

Main Results:

  • The proposed algorithm successfully identifies the optimal activity sequence for FLMP.
  • It can solve problems involving up to 27 activities within a one-hour timeframe.
  • The algorithm demonstrates superior performance compared to existing state-of-the-art exact algorithms.

Conclusions:

  • The developed algorithm provides an efficient and effective solution for activity sequencing in product development.
  • It offers a significant improvement over current methods for minimizing feedback length.
  • This approach aids project managers in reducing rework, delays, and cost overruns.