The Synchronization of Hyperchaotic Systems Using a Novel Interval Type-2 Fuzzy Neural Network Controller

被引：7
|
作者：
Tien-Loc Le [1 ]
Van-Binh Ngo [1 ]
机构：
[1] Lac Hong Univ, Fac Mechatron & Elect, Bien Hoa 810000, Dong Nai, Vietnam
来源：
IEEE ACCESS | 2022年 / 10卷
关键词：
Synchronization; Fuzzy logic; Uncertainty; Fuzzy neural networks; Fuzzy control; Optimization; Heuristic algorithms; 5-D hyperchaotic systems; fuzzy neural network; type-2 fuzzy system; 3DGMFs; Jaya algorithm; ROBUST SYNCHRONIZATION; CHAOTIC SYSTEMS; LOGIC SYSTEMS; ALGORITHM; DESIGN;
D O I：
10.1109/ACCESS.2022.3211515
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposed a novel interval type-2 fuzzy neural network controller (NT2FC) to synchronize 5-D hyperchaotic systems with noise disturbance and system uncertainties. In the proposed controller, the type 2 fuzzy set is designed with the 3-dimensional Gaussian membership functions (3DGMFs) to increase the system's ability to respond to uncertainty. The parameters of the NT2FC controller are updated online via adaptation laws, which are built based on the gradient descent approach. The system stability is ensured through the Lyapunov stability analysis. In addition, the modified Jaya algorithm (MJA) is applied to optimize the learning rates in adaptation laws. Finally, the efficiency of the proposed NT2FC is examined by the numerical simulation of the hyperchaotic system's synchronization.
引用
收藏
页码：105966 / 105982
页数：17
相关论文
共 50 条
  • [41] On the Monotonicity of Interval Type-2 Fuzzy Logic Systems
    Li, Chengdong
    Yi, Jianqiang
    Zhang, Guiqing
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2014, 22 (05) : 1197 - 1212
  • [42] Stability Analysis and Controller Design of Discrete Interval Type-2 Fuzzy Systems
    Sheng, Long
    Li, Chunguang
    2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL III, 2010, : 132 - 135
  • [43] An Adaptive Type-2 Fuzzy Neural Controller for Nonlinear Uncertain Systems
    Lee, C. -H.
    Lin, Y. -C.
    CONTROL AND INTELLIGENT SYSTEMS, 2005, 33 (01)
  • [44] The Simplest Interval Type-2 Fuzzy PID Controller: Structural Analysis
    Sakalli, Ahmet
    Kumbasar, Tufan
    Dodurka, M. Furkan
    Yesil, Engin
    2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2014, : 626 - 633
  • [45] Modelling and analysis of an interval type-2 Mamdani fuzzy PID controller
    Praharaj, Manoranjan
    Sain, Debdoot
    Mohan, B. M.
    IFAC PAPERSONLINE, 2022, 55 (01): : 728 - 733
  • [46] STABILITY ANALYSIS AND CONTROLLER DESIGN OF DISCRETE INTERVAL TYPE-2 FUZZY SYSTEMS
    Sheng, Long
    Ma, Xiaoyu
    ASIAN JOURNAL OF CONTROL, 2014, 16 (04) : 1091 - 1104
  • [47] An Interval Type-2 Fuzzy Distribution Network
    Miller, Simon M.
    Popova, Viara
    John, Robert
    Gongora, Mario
    PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE, 2009, : 697 - 702
  • [48] Backpropagation Learning Method with Interval Type-2 Fuzzy Weights in Neural Networks
    Gaxiola, Fernando
    Melin, Patricia
    Valdez, Fevrier
    Castillo, Oscar
    2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2013,
  • [49] Using an Interval Type-2 Fuzzy Neural Network and Tool Chips for Flank Wear Prediction
    Lin, Cheng-Jian
    Jhang, Jyun-Yu
    Chen, Shao-Hsien
    Young, Kuu-Young
    IEEE ACCESS, 2020, 8 : 122626 - 122640
  • [50] Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties
    Kebria, Parham Mohsenzadeh
    Khosravi, Abbas
    Nahavandi, Saeid
    Wu, Dongrui
    Bello, Fernando
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (10) : 2543 - 2554
12345