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Data Communication Based on MQTT in a Polymer Extrusion Process
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Dependable control systems with Internet of Things.

Tri Tran1, Q P Ha2

  • 1Cambridge CARES, Nanyang Technological University, 62 Nanyang Ave., 639798, Singapore.

ISA Transactions
|September 3, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a dependable control system (DepCS) using the Internet of Things (IoT) for continuous processes. It enables self-recovery and eliminates the need for centralized systems, enhancing reliability.

Keywords:
Dependable control systemIncrementally dissipative systemInternet of ThingsSelf-recovery constraint

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Area of Science:

  • Control Systems Engineering
  • Industrial Automation
  • Internet of Things

Background:

  • Traditional control systems often rely on centralized architectures, which can be vulnerable to single points of failure.
  • Continuous processes require robust and reliable control mechanisms to ensure operational stability and safety.
  • The integration of the Internet of Things (IoT) offers new possibilities for distributed and resilient control solutions.

Purpose of the Study:

  • To present an Internet of Things (IoT)-enabled dependable control system (DepCS) for continuous processes.
  • To introduce a state feedback control synthesis method for DepCS incorporating a self-recovery constraint.
  • To demonstrate the elimination of the need for a centralized input-output marshaling system in DepCS.

Main Methods:

  • Designing actuators and transmitters as computational platforms executing feedback control algorithms.
  • Establishing a reliable backbone for DepCS through IoT connections between actuators and transmitters.
  • Developing a state feedback control synthesis method with self-recovery constraints.

Main Results:

  • The proposed DepCS architecture eliminates the requirement for a centralized input-output marshaling system.
  • IoT connectivity provides a dependable backbone for the distributed control system.
  • The state feedback control synthesis method ensures self-recovery capabilities within the DepCS.

Conclusions:

  • The IoT-enabled DepCS offers a dependable and resilient control solution for continuous processes.
  • The self-recovery constraint enhances the robustness of the control system against failures.
  • This approach paves the way for more autonomous and reliable industrial control applications.