A TOPSIS based Self-Organizing Double Loop Recurrent Broad Learning System for Uncertain Nonlinear Systems

Wei-Zhong Huang, Yang Zhao, Wei-Bin Hong, Hong-Rui He, Fei Chao, Longzhi Yang, Chih-Min Lin, Xiang Chang, Changjing Shang, Qiang Shen

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

60 Downloads (Pure)

Abstract

This study proposes an efficient intelligent control structure for uncertain nonlinear systems. The controller is implemented by a sliding mode control framework including a modified broad leaning network (BLS) with a double-loop recurrent structure. In addition, the proposed BLS involves a self-organizing mechanism to increase or decrease the size of the BLS. The technique for order of preference by similarity to ideal solution (TOPSIS) method is used to build the self-organizing mechanism. Moreover, two dynamic thresholds of TOPSIS are automatically determined according to the stability of the controller. One dynamic threshold is used to consider whether to retain or remove existing network neurons in the BLS; and the other is used to generate new neurons, so as to meet the requirements of different control states and save computing resources. To improve the network's dynamic characteristics, a double-loop recurrent structure is further introduced into the self-organizing BLS. The Lyapunov stability function is used to ensure the stability of the control system. The proposed controller is applied to the simulation control of a nonlinear chaotic system and a three-link robot manipulator. The experimental results show that the proposed controller can achieve better control performance against other network-based controllers. The source code of this work is placed at https://github.com/wzhuang-xmu/SODLRBLS.
Original languageEnglish
Title of host publication2022 International Joint Conference on Neural Networks
Subtitle of host publicationIJCNN
PublisherIEEE Press
ISBN (Print)9781728186719
DOIs
Publication statusPublished - 30 Sept 2022
EventJoint Conference on Neural Networks - Centro Congressi, Padova, Italy
Duration: 18 Jul 202223 Jul 2022
Conference number: 2022

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume2022-July

Conference

ConferenceJoint Conference on Neural Networks
Abbreviated titleIJCNN
Country/TerritoryItaly
CityPadova
Period18 Jul 202223 Jul 2022

Keywords

  • Self-organizing network
  • broad learning system
  • double loop recurrent neural network
  • three-links robot manipulator

Fingerprint

Dive into the research topics of 'A TOPSIS based Self-Organizing Double Loop Recurrent Broad Learning System for Uncertain Nonlinear Systems'. Together they form a unique fingerprint.

Cite this