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Related Concept Videos

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.
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.
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Transfer Function in Control Systems01:21

Transfer Function in Control Systems

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The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
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Linear time-invariant Systems01:23

Linear time-invariant Systems

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A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
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Related Experiment Video

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Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique
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Sampled-data-based vibration control for structural systems with finite-time state constraint and sensor outage.

Falu Weng1, Mingxin Liu2, Weijie Mao3

  • 1Faculty of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, 341000, China.

ISA Transactions
|May 15, 2018
PubMed
Summary

This study develops vibration control for structures facing sensor outages and finite-time constraints. The new method ensures system stability and disturbance rejection during events like earthquakes or strong winds.

Keywords:
Finite-time stabilitySampled-dataSensor outageStructural systemsVibration

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Area of Science:

  • Structural Engineering
  • Control Systems Theory
  • Applied Mathematics

Background:

  • Structural systems are vulnerable to vibrations from external forces like earthquakes and strong winds.
  • Sensor outages can compromise the effectiveness of vibration control systems.
  • Finite-time constraints are crucial as peak structural responses often cause damage.

Purpose of the Study:

  • To investigate sampled-data-based vibration control for structural systems with finite-time state constraints and sensor outages.
  • To design controllers that guarantee closed-loop stability and anti-disturbance performance despite sensor failures.
  • To ensure structural safety and performance during critical events.

Main Methods:

  • Establishing a state-space model for structural systems incorporating sensor outages and parameter uncertainties (mass, damping, stiffness).
  • Employing finite-time stability analysis to constrain state responses within a specified time interval.
  • Utilizing H-infinity stability in controller design for guaranteed disturbance attenuation.
  • Formulating stabilization conditions as linear matrix inequalities (LMIs) for computational feasibility.

Main Results:

  • A novel sampled-data-based vibration control strategy is proposed.
  • The controller effectively manages system stability and performance during sensor outages.
  • Finite-time constraints are successfully imposed on structural responses.
  • H-infinity performance ensures significant disturbance attenuation.

Conclusions:

  • The developed vibration control method is effective for structural systems with sensor outages and finite-time state constraints.
  • The use of LMIs simplifies the verification of stabilization conditions.
  • Numerical examples validate the proposed approach for enhancing structural resilience.