- Open-loop vs. Closed-loop (https://tinyurl.com/bdzaxr7e): Open-loop systems operate without feedback, while closed-loop systems use feedback to adjust their actions.
Open loop
These control systems operate with human input. The control action is independent of
the output. In
household use, a washing machine is an example of an open-loop system
because someone needs
to make selections among the settings for it runs. A time-based
traffic light system
is an industrial example of an open-loop control system, where traffic
engineers must decide
the timing for the stop, go and caution lights.
Closed loop
These systems can be actively managed or set to operate autonomously. They use feedback
signals from the system to provide automatic control and maintain specific settings or
a desired state without human intervention. Some control loops can be switched between
closed and open modes. When open, a switchable loop is manually controlled; when closed,
it can be fully automated.
A thermostat is an example of a closed-loop system. It turns a heating system on and off
based on signals it receives from sensors that monitor air temperature. Temperature control is
a particularly important part of maintaining a proper data center environment.
In Figure 2, the technician manages a system that can be remotely controlled. The technician
regularly sends input signals to the device, and it sends output signals via a feedback loop
and a sensor that monitors the device. When the sensor receives an error signal from
the device, it sends an alert message over the feedback loop to the technician, who then
sends instructions to the device as needed to counter the negative feedback.
Figure 2 also depicts a feedback control system. The control system needs feedback data to
control the device.
- Feedforward, Concurrent, and Feedback (https://tinyurl.com/mrxrfhma): These are different approaches to control, with feedforward anticipating issues, concurrent monitoring during processes, and feedback adjusting based on results.
- Anticipating potential issues in the production process.
- Implementing measures to prevent problems from occurring.
- Utilizing advanced technology for predictive analysis.
- Regularly monitoring and adjusting processes to maintain efficiency.
- Establish Clear Objectives: Define specific goals for service delivery and quality standards.
- Real-time Monitoring: Use technology to track service processes and identify deviations promptly.
- Immediate Corrective Actions: Address issues as they arise to maintain service quality and compliance.
- Healthcare Monitoring: Implement feedback control systems to track patient vital signs, medication effects, and treatment outcomes.
- Quality Improvement: Utilize feedback control to enhance healthcare service delivery, address patient concerns, and improve overall patient experience.
- Risk Management: Employ feedback control mechanisms to identify and mitigate potential risks, errors, and adverse events in healthcare operations.
- Regulatory Compliance: Ensure adherence to healthcare regulations and standards through feedback control processes, promoting patient safety and confidentiality.
- Identify and anticipate potential deviations in processes and outcomes when implementing feedforward control.
- Establish proactive measures to prevent or minimize anticipated issues.
- Implement clear and specific guidelines for corrective actions, if required.
- Regularly monitor and adjust processes based on anticipated changes.
- Identify Key Processes: Determine core activities requiring concurrent control.
- Establish Standards: Set benchmarks and quality measures for real-time performance evaluation.
- Implement Monitoring Systems: Utilize technology for continuous oversight of operations and deviations related to concurrent control.
- Enforce Immediate Corrections: Address issues as they arise to maintain efficient workflow and ensure successful implementation of concurrent control.
- Timing: Feedback control takes place after the process, identifying errors and making necessary adjustments.
- Focus: It is centered on the results and performance of the process.
- Direction: Its goal is to maintain or alter the process in order to achieve desired outcomes.
- Cybernetic, Go/No-Go, and Post-Performance (https://www.praxisframework.org/en/knowledge/control): These are broader categories of control systems.
- Improved efficiency: Streamlined processes and resource allocation.
- Increased productivity: Enhanced output and reduced errors.
- Enhanced safety: Reduced risks and improved security.
- Better decision-making: Informed adjustments based on data and feedback.
- Reduced costs: Efficient resource utilization and minimized waste.
- Define clear objectives: Establish measurable goals and targets.
- Identify critical control points: Determine where deviations are most likely to occur.
- Choose appropriate control mechanisms: Select the right tools and techniques.
- Continuously monitor and evaluate: Regularly assess the effectiveness of the control system.
- Adapt and improve: Make adjustments as needed to optimize performance.




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