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Related Concept Videos

Control Systems01:10

Control Systems

1.2K
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...
1.2K
Control Systems: Applications01:25

Control Systems: Applications

638
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

332
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...
332
PD Controller: Design01:26

PD Controller: Design

272
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
272
Open and closed-loop control systems01:17

Open and closed-loop control systems

785
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...
785
Controller Configurations01:22

Controller Configurations

115
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...
115

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Design principles for synthetic control systems to engineer plants.

Tawni Bull1, Arjun Khakhar2

  • 1Department of Biology, Colorado State University, Fort Collins, CO, USA.

Plant Cell Reports
|October 3, 2023
PubMed
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Synthetic biology tools, successful in single-celled organisms, are being adapted for plants. This research explores engineering predictable plant traits to address global challenges like climate change and food security.

Keywords:
Multicellular engineeringPlant synthetic biologySynthetic control systems

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Area of Science:

  • Synthetic biology
  • Plant science
  • Genetic engineering

Background:

  • Synthetic control systems have advanced unicellular organism research but face challenges in multicellular organisms like plants.
  • Predictable engineering of plants is crucial for developing traits to combat global issues such as climate change and food insecurity.

Purpose of the Study:

  • To review progress in synthetic control systems for unicellular organisms.
  • To explore leveraging this knowledge for plant synthetic biology.
  • To discuss strategies for developing plant control systems for predictable trait engineering.

Main Methods:

  • Review of synthetic control system development in unicellular organisms.
  • Discussion of strategies for regulating transgene and endogenous gene expression in plants.
  • Exploration of mathematical modeling for biological process control.

Main Results:

  • Synthetic control systems offer potential for precise regulation of genome-to-phenotype translation in plants.
  • Plants serve as a viable chassis for developing and testing advanced synthetic control strategies.
  • Mathematical models are valuable tools for deploying engineered control systems in biological contexts.

Conclusions:

  • Adapting synthetic control systems from unicellular to multicellular organisms, particularly plants, is key to engineering novel traits.
  • Developing precise control systems in plants can lead to solutions for global challenges.
  • Integration of mathematical modeling enhances the predictability and utility of synthetic biology in plants.