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Related Concept Videos

Control Systems01:10

Control Systems

1.1K
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...
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Control Systems: Applications01:25

Control Systems: Applications

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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...
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Feedback control systems01:26

Feedback control systems

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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...
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Open and closed-loop control systems01:17

Open and closed-loop control systems

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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...
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Global Regulatory Systems01:28

Global Regulatory Systems

2
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
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What is Homeostasis?01:16

What is Homeostasis?

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Maintaining homeostasis requires that the body continuously maintain its internal conditions. Each physiological condition has a particular set point, from body temperature to blood pressure to levels of certain nutrients. A set point is the physiological value around which the normal range fluctuates. A normal range is a restricted set of values that is optimally healthful and stable. For example, the set point for normal human body temperature is approximately 37°C (98.6°F).
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Related Experiment Video

Updated: Jun 9, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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An Overview of Software Sensor Applications in Biosystem Monitoring and Control.

Nasem Badreldin1, Xiaodong Cheng2, Ali Youssef3

  • 1Department of Soil Science, University of Manitoba, 13 Freedman Crescent, Winnipeg, MB R3T 2N2, Canada.

Sensors (Basel, Switzerland)
|October 26, 2024
PubMed
Summary

Software sensors overcome biosystem monitoring challenges by integrating hardware data with computational models. They enable indirect estimation of crucial variables, enhancing control and decision-making in various fields.

Keywords:
biosystemscontroldigital agriculturemachine-learningmonitoringsoftware sensors

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Monitoring of Systemic and Hepatic Hemodynamic Parameters in Mice
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Area of Science:

  • Biosystems engineering and computational modeling.
  • Advanced sensor technology and data integration.

Background:

  • Biological systems present unique challenges for monitoring due to nonlinearity, variability, and uncertainty.
  • Traditional monitoring methods struggle when measurable data doesn't align with essential monitoring needs.

Purpose of the Study:

  • To review the critical role of software sensors in advancing biosystem monitoring and control.
  • To outline advancements in sensor technologies and their integration into model-based systems.
  • To discuss methodologies and challenges in software sensor design.

Main Methods:

  • Integration of hardware sensor data with advanced computational models (mechanistic and data-driven).
  • Leveraging Internet of Things (IoT) devices, wearables, remote sensing, and smart sensors.
  • Analysis of case studies including Kalman filters, remote soil sensing, and sound recognition algorithms.

Main Results:

  • Software sensors enable indirect estimation of hard-to-measure variables like stress indicators, health metrics, and soil properties.
  • Demonstrated applications in greenhouse control, remote soil organic matter detection, and early animal respiratory infection detection.
  • Highlighted trade-offs between model accuracy, interpretability, simplicity, and predictive performance.

Conclusions:

  • Software sensors offer a transformative approach to biosystem monitoring and control.
  • They enhance decision-making and promote sustainability in agriculture, healthcare, and environmental monitoring.
  • Addressing challenges in software sensor design is key to realizing their full potential.