System Identification Using Self-Adaptive Group Particle Swarm Optimization

被引：0
|
作者：
Lin, Chun-Hui [1 ]
Lee, Chin-Ling [2 ]
Lin, Cheng-Jian [3 ]
机构：
[1] Nation Cheng Kung Univ, Dept Comp Sci & Informat Engn, Tainan 701, Taiwan
[2] Natl Taichung Univ Sci & Technol, Dept Int Business, Taichung 404, Taiwan
[3] Natl Chin Yi Univ Technol, Dept Comp Sci & Informat Engn, Taichung 411, Taiwan
来源：
2018 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2018) | 2018年
关键词：
Fuzzy cerebellar model articulation controller; entropy; Nelder-Mead; particle swarm optimization; prediction; identification;
D O I：
10.1109/IS3C.2018.00085
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This article presents an efficient TSK-type recurrent fuzzy cerebellar model articulation controller (T-RFCMAC) model based on dynamic-group-based hybrid evolutionary algorithm (DGHEA) for solving identification and prediction problems.
引用
收藏
页码：310 / 313
页数：4
相关论文
共 50 条
  • [21] Self-adaptive Quantum Particle Swarm Optimization for Dynamic Environments
    Pampara, Gary
    Engelbrecht, Andries P.
    [J]. SWARM INTELLIGENCE (ANTS 2018), 2018, 11172 : 163 - 175
  • [22] Path planning for mobile robot using self-adaptive learning particle swarm optimization
    Li, Guangsheng
    Chou, Wusheng
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2018, 61 (05)
  • [23] Path planning for mobile robot using self-adaptive learning particle swarm optimization
    Guangsheng Li
    Wusheng Chou
    [J]. Science China Information Sciences, 2018, 61
  • [24] Self-adaptive velocity particle swarm optimization for solving constrained optimization problems
    Haiyan Lu
    Weiqi Chen
    [J]. Journal of Global Optimization, 2008, 41 : 427 - 445
  • [25] Path planning for mobile robot using self-adaptive learning particle swarm optimization
    Guangsheng LI
    Wusheng CHOU
    [J]. Science China(Information Sciences), 2018, 61 (05) : 267 - 284
  • [26] Self-adaptive velocity particle swarm optimization for solving constrained optimization problems
    Lu, Haiyan
    Chen, Weiqi
    [J]. JOURNAL OF GLOBAL OPTIMIZATION, 2008, 41 (03) : 427 - 445
  • [27] An Improved Self-Adaptive Particle Swarm Optimization Algorithm with Simulated Annealing
    Jun, Shu
    Jian, Li
    [J]. 2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL 3, PROCEEDINGS, 2009, : 396 - +
  • [28] A novel particle swarm optimization algorithm with self-adaptive inertia weight
    Zhang Xueliang
    Wen Shuhua
    Li Hainan
    Liu Shuyang
    Wu Meixian
    Wang Jiaying
    [J]. PROCEEDINGS OF THE 24TH CHINESE CONTROL CONFERENCE, VOLS 1 AND 2, 2005, : 1373 - 1376
  • [29] A self-adaptive particle swarm optimization algorithm with individual coefficients adjustment
    Wu, Zhengjia
    Zhou, Jianzhong
    [J]. CIS: 2007 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PROCEEDINGS, 2007, : 133 - +
  • [30] Convergence Analysis of Self-adaptive Immune Particle Swarm Optimization Algorithm
    Jiang, Jingqing
    Song, Chuyi
    Ping, Huan
    Zhang, Chenggang
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2018, 2018, 10878 : 157 - 164
12345