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Multi-Agent System for Closed Loop Model-Based Control of Dissolved Oxygen Concentration

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper presents a proposition of Multi-Agent System design dedicated to control dissolved oxygen concentration inside reactor with activated sludge. Designed Multi-Agent System is able to switch between multiple available control algorithms to reach the best possible control quality. Design goal was to create encapsulated agents where modification of one agent's code would not cause the necessity to change any other agent in system. Created Multi-Agent system was tested in laboratory setup with a well-mixed bioreactor. Experimental comparison with conventional on-off controller showed improvement in control precision.

Original languageEnglish
Title of host publication2021 25th International Conference on Methods and Models in Automation and Robotics, MMAR 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages145-149
Number of pages5
ISBN (Electronic)9781728173801
DOIs
Publication statusPublished - 23 Aug 2021
Event25th International Conference on Methods and Models in Automation and Robotics, MMAR 2021 - Miedzyzdroje, Poland
Duration: 23 Aug 202126 Aug 2021

Publication series

Name2021 25th International Conference on Methods and Models in Automation and Robotics, MMAR 2021

Conference

Conference25th International Conference on Methods and Models in Automation and Robotics, MMAR 2021
Country/TerritoryPoland
CityMiedzyzdroje
Period23/08/2126/08/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Keywords

  • Adaptive control
  • Multi-Agent Systems
  • model-based control
  • practical-validation
  • process control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering
  • Control and Optimization
  • Modeling and Simulation

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