Development of IoT technology using data-driven control

被引:0
|
作者
Imai, Shinichi [1 ]
机构
[1] Tokyo Gakugei Univ, Technol & Informat Sci, Dept Nat Sci, 4-1-1 Nukuikita, Koganei, Tokyo 1848501, Japan
关键词
IoT; data-driven control; database;
D O I
10.1109/ETFA45728.2021.9613557
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, the IoT has been attracting attention, and there are growing expectations in the industrial world for the use of data obtained from the many sensors installed in systems. These data are stored in a database in real time through communication between sensors and the cloud. On the other hand, in the process industry, digital controllers are widely used as general-purpose controllers. However, due to the limitation of data memory, it is difficult for a general-purpose controller to have a built-in database. Therefore, in this study, we develop a new implementation of data-driven control that utilizes IoT technology. As a result, the controller and computer are connected by IoT technology, the database and data-driven control calculations are performed on the computer side, and the calculated PID gain can be sent to the controller.
引用
收藏
页数:4
相关论文
共 50 条
  • [31] Cooperative control using data-driven feedback for mobile sensors
    Hodgkinson, Bobby
    Lipinski, Doug
    Peng, Liqian
    Mohseni, Kamran
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2013, : 772 - 777
  • [32] Data-Driven Stochastic Optimal Control Using Kernel Gradients
    Thorpe, Adam J.
    Gonzales, Jake A.
    Oishi, Meeko M. K.
    [J]. 2023 AMERICAN CONTROL CONFERENCE, ACC, 2023, : 2548 - 2553
  • [33] Data-driven control for linear systems using reachable sets
    Al Khatib, Mohammad
    Mishra, Vikas Kumar
    Bajcinca, Naim
    [J]. 2023 EUROPEAN CONTROL CONFERENCE, ECC, 2023,
  • [34] Robot Manipulator Control Using a Robust Data-Driven Method
    Rahmani, Mehran
    Redkar, Sangram
    [J]. FRACTAL AND FRACTIONAL, 2023, 7 (09)
  • [35] Robust Data-Driven Safe Control Using Density Functions
    Zheng, Jian
    Dai, Tianyu
    Miller, Jared
    Sznaier, Mario
    [J]. IEEE CONTROL SYSTEMS LETTERS, 2023, 7 : 2611 - 2616
  • [36] Data-Driven Online Unfalsified Control by Using Analytic Center
    Saeki, M.
    Kondo, K.
    Wada, N.
    Satoh, S.
    [J]. 2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 2026 - 2031
  • [37] Safe Reinforcement Learning using Data-Driven Predictive Control
    Selim, Mahmoud
    Alanwar, Amr
    El-Kharashi, M. Watheq
    Abbas, Hazem M.
    Johansson, Karl H.
    [J]. 2022 5TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, SIGNAL PROCESSING, AND THEIR APPLICATIONS (ICCSPA), 2022,
  • [38] Data-driven Optimal Control with Data Loss
    Huan, Luo
    Azuma, Shun-ich
    [J]. 2024 SICE INTERNATIONAL SYMPOSIUM ON CONTROL SYSTEMS, SICE ISCS 2024, 2024, : 56 - 59
  • [39] DATA-DRIVEN CONTROL OF THE CHEMOSTAT USING THE KOOPMAN OPERATOR THEORY
    Dekhici, Benaissa
    Benyahia, Boumediene
    Cherki, Brahim
    [J]. UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2023, 85 (02): : 137 - 150
  • [40] Understanding Democracy and Development Traps Using a Data-Driven Approach
    Ranganathan, Shyam
    Nicolis, Stamatios C.
    Spaiser, Viktoria
    Sumpter, David J. T.
    [J]. BIG DATA, 2015, 3 (01) : 22 - 33