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Related Concept Videos

Control Systems01:10

Control Systems

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...
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
Types of Damping01:20

Types of Damping

If the amount of damping in a system is gradually increased, the period and frequency start to become affected because damping opposes, and hence slows, the back and forth motion (the net force is smaller in both directions). If there is a very large amount of damping, the system does not even oscillate; instead, it slowly moves toward equilibrium. In brief, an overdamped system moves slowly towards equilibrium, whereas an underdamped system moves quickly to equilibrium but will oscillate about...
Load-frequency control01:28

Load-frequency control

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...
Feedback control systems01:26

Feedback control systems

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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Related Experiment Video

Updated: May 9, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Optimal coherent control to counteract dissipation.

Simeon Sauer1, Clemens Gneiting, Andreas Buchleitner

  • 1Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Hermann-Herder-Strasse 3, D-79104 Freiburg, Germany.

Physical Review Letters
|August 6, 2013
PubMed
Summary
This summary is machine-generated.

We developed a method to counteract dissipation and preserve quantum properties like coherence and entanglement. This approach uses controlled dynamics to sustain quantum states against environmental noise.

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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Related Experiment Videos

Last Updated: May 9, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Area of Science:

  • Quantum mechanics
  • Quantum information science
  • Open quantum systems

Background:

  • Dissipation degrades quantum properties, limiting quantum technologies.
  • Coherent control offers a potential pathway to mitigate these detrimental effects.
  • Understanding the interplay between dissipation and control is crucial for quantum state preservation.

Purpose of the Study:

  • To investigate the extent to which coherent dynamics can compensate for dissipation's impact on quantum properties.
  • To develop a general method for finding control Hamiltonians that counteract specific dissipation mechanisms.
  • To apply this method to sustain coherence in a decaying two-level system and entanglement in a two-qubit system.

Main Methods:

  • Formulation of a general method to derive optimal control Hamiltonians.
  • Application of the method to a decaying two-level system to preserve coherence.
  • Application to a two-qubit system with local dissipation to sustain entanglement.

Main Results:

  • A systematic approach to identify control strategies for combating dissipation was established.
  • The method successfully demonstrated the preservation of coherence in a single quantum system.
  • Entanglement in a multi-qubit system under local dissipation was shown to be sustainable.

Conclusions:

  • Coherent dynamics can effectively compensate for detrimental effects of dissipation on quantum properties.
  • The developed method provides a powerful tool for designing quantum control strategies.
  • This research contributes to the advancement of robust quantum information processing.