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Related Concept Videos

Open and closed-loop control systems01:17

Open and closed-loop control systems

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 and...
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...
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:
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...
Control System Problem01:21

Control System Problem

In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
Conservation of Mass in Finite Cotrol Volume01:16

Conservation of Mass in Finite Cotrol Volume

The principle of conservation of mass is a fundamental law in fluid mechanics and is applied using the continuity equation. We apply the concept to a finite control volume to derive the continuity equation.
A system is defined as a collection of unchanging contents, and the conservation of mass states that a system's mass is constant.

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Related Experiment Video

Updated: May 8, 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

Closed-loop and robust control of quantum systems.

Chunlin Chen1, Lin-Cheng Wang, Yuanlong Wang

  • 1Department of Control and System Engineering, Nanjing University, Nanjing 210093, China.

Thescientificworldjournal
|September 3, 2013
PubMed
Summary
This summary is machine-generated.

This study surveys quantum control methods for robust and reliable systems. It covers closed-loop learning, feedback, and robust control strategies, offering insights into quantum system reliability.

Related Experiment Videos

Last Updated: May 8, 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

Area of Science:

  • Quantum Control Systems
  • Quantum Information Science

Background:

  • Quantum control systems require robustness and reliability despite inherent uncertainties in dynamics and models.
  • Existing effective approaches include closed-loop learning control, feedback control, and robust control.

Purpose of the Study:

  • To provide a comprehensive survey of closed-loop and robust control methods for quantum systems.
  • To introduce fundamental theories and techniques in quantum control for further research.
  • To offer a unified perspective on exploring quantum control landscapes.

Main Methods:

  • Survey of gradient-based methods, genetic algorithms (GA), and reinforcement learning (RL) for closed-loop learning control.
  • Review of Lyapunov control, measurement-based control, and coherent-feedback control strategies.
  • Examination of H(∞) control, sliding mode control, quantum risk-sensitive control, and quantum ensemble control.

Main Results:

  • Categorization and overview of diverse quantum control strategies.
  • Unified viewpoint on learning control methods for quantum systems.
  • Review of established and advanced robust control techniques.

Conclusions:

  • The survey provides a foundational understanding of quantum control techniques.
  • Identifies key methods in closed-loop learning, feedback, and robust quantum control.
  • Highlights future research directions in enhancing quantum system control.