Robust Evolving Cloud-based Controller (RECCo)

被引:0
|
作者
Andonovski, Goran [1 ]
Angelov, Plamen [2 ]
Blazic, Saso [1 ]
Skrjanc, Igor [1 ]
机构
[1] Univ Ljubljana, Fac Elect Engn, Ljubljana, Slovenia
[2] Univ Lancaster, Sch Coputing & Commun, Lancaster, England
关键词
ADAPTIVE-CONTROL; PLANT;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents an autonomous Robust Evolving Cloud-based Controller (RECCo). The control algorithm is a fuzzy type with non-parametric (cloud-based) antecedent part and adaptive PID-R consequent part. The procedure starts with zero clouds (fuzzy rules) and the structure evolves during performing the process control. The PID-R parameters of the first cloud are initialized with zeros and furthermore, they are adapted on-line with a stable adaptation mechanism based on Lyapunov approach. The RECCo controller does not require any mathematical model of the controlled process but just basic information such as input and output range and the estimated value of the dominant time constant. Due to the problem space normalization the design parameters are fixed. The proposed controller with the same initial design parameters was tested on two different simulation examples. The experimental results show the convergence of the adaptive parameters and the effectiveness of the proposed algorithm.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Robust Evolving Cloud-based Controller for a Hydraulic Plant
    Angelov, Plamen
    Skrjanc, Igor
    Blazic, Sago
    [J]. PROCEEDINGS OF THE 2013 IEEE CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (EAIS), 2013, : 1 - 8
  • [2] Analysis of Adaptation Law of the Robust Evolving Cloud-based Controller
    Andonovski, Goran
    Blazic, Saso
    Angelov, Plamen
    Skrjanc, Igor
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (EAIS), 2015,
  • [3] Decentralized robust evolving cloud-based controller for two input two output systems
    Vijay Anand, J.
    Manoharan, P. S.
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022, 44 (05) : 1056 - 1069
  • [4] Robust Evolving Cloud-based Controller in Normalized Data Space for Heat-Exchanger Plant
    Andonovski, Goran
    Blazic, Saso
    Angelov, Plamen
    Skrjanc, Igor
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015), 2015,
  • [5] A practical implementation of Robust Evolving Cloud-based Controller with normalized data space for heat-exchanger plant
    Andonovski, Goran
    Angelov, Plamen
    Blazic, Saso
    Skrjanc, Igor
    [J]. APPLIED SOFT COMPUTING, 2016, 48 : 29 - 38
  • [6] Robust Evolving Cloud-based Control for the Distributed Solar Collector Field
    Andonovski, Goran
    Bayas, Antonio
    Saez, Doris
    Blazic, Saso
    Skrjanc, Igor
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2016, : 1570 - 1577
  • [7] Hardware design for blood glucose control based on the Sorensen diabetic patient model using a robust evolving cloud-based controller
    Kalaimani, Subasri Chellamuthu
    Jeyakumar, Vijay
    [J]. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2023, 27 (15) : 2246 - 2267
  • [8] Design of Robust Evolving Cloud-Based Controller for Type 1 Diabetic Patients Using n-Beats Algorithm
    Kalaimani, Subasri Chellamuthu
    Jeyakumar, Vijay
    [J]. BRAZILIAN ARCHIVES OF BIOLOGY AND TECHNOLOGY, 2024, 67
  • [9] Robust Evolving Cloud-based PID Control Adjusted by Gradient Learning Method
    Skrjanc, Igor
    Blazic, Saso
    Angelov, Plamen
    [J]. 2014 IEEE CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (EAIS), 2014,
  • [10] Cloud-based PI Controller Optimization
    Lee, Kanghee
    Kim, Jeong-Geun
    Choi, Younggeun
    [J]. INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2012, 15 (05): : 2267 - 2276