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Related Concept Videos

Controller Configurations01:22

Controller Configurations

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Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
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Load-frequency control01:28

Load-frequency control

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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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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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Control Systems01:10

Control Systems

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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.
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Related Experiment Video

Updated: Jul 23, 2025

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A Flexible Traffic Signal Coordinated Control Approach and System on Complicated Transportation Control

Songhang Chen1, Chunlin Shang2, Fenghua Zhu2

  • 1Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, China.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
Summary

This study introduces a flexible approach to coordinated traffic signal control, addressing infrastructure complexity with complex networks and fuzzy control. A steam computing system ensures scalability for efficient traffic management.

Keywords:
flexibleregional traffic signal controltransportation control infrastructureuniversal adaptability

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Area of Science:

  • Intelligent Transportation Systems
  • Control Engineering
  • Computer Science

Background:

  • Transportation control infrastructure is crucial for regional traffic signal control.
  • Existing systems face challenges due to infrastructure heterogeneity and uncertainty.
  • Complexity and imperfections in traffic control infrastructure hinder efficient signal management.

Purpose of the Study:

  • To propose a novel, flexible approach for coordinated traffic signal control.
  • To overcome the challenges posed by complex and imperfect transportation control infrastructure.
  • To develop a scalable and compatible regional traffic signal control system.

Main Methods:

  • Combining flexible models of complex networks with robust fuzzy control methods.
  • Developing a regional traffic signal control system utilizing steam computing technology.
  • Conducting computational experiments to validate the approach's adaptability and performance.

Main Results:

  • The proposed approach effectively addresses the complexity of transportation control infrastructure.
  • Enhanced flexibility in traffic signal control is achieved.
  • The steam computing system demonstrates high scalability and compatibility.

Conclusions:

  • The novel approach offers a flexible and robust solution for coordinated traffic signal control.
  • The developed system provides a scalable and compatible platform for regional traffic management.
  • Computational experiments confirm the approach's adaptability and performance in complex scenarios.