Improving tracking control for robots using neural networks

被引:0
|
作者
Univ of New South Wales, Kensington [1 ]
机构
来源
Int J Rob Autom | / 2卷 / 74-82期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Dual Adaptive Dynamic Control of Mobile Robots Using Neural Networks
    Bugeja, Marvin K.
    Fabri, Simon G.
    Camilleri, Liberato
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (01): : 129 - 141
  • [22] Adaptive Tracking Control of Nonlinear Systems Using Neural Networks
    Niu, Lin
    Ye, Liaoyuan
    2009 INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION, AND ROBOTICS, PROCEEDINGS, 2009, : 12 - +
  • [23] Model inversion tracking control for UltraLITE using neural networks
    Leitner, J
    Denoyer, K
    NOVEL OPTICAL SYSTEMS AND LARGE-APERTUR IMAGING, 1998, 3430 : 227 - 235
  • [24] Neural Adaptive Tracking Control for Wheeled Mobile Robots
    Li, Zhencai
    Wang, Yang
    Song, Xingguo
    Liu, Zhen
    PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON FLUID POWER AND MECHATRONICS - FPM 2015, 2015, : 610 - 617
  • [25] Dual Deep Neural Networks for Improving Trajectory Tracking Control of Unmanned Surface Vehicle
    Sun, Wenli
    Gao, Xu
    Yu, Yanli
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 3441 - 3446
  • [26] Using Knowledge Ontologies and Neural Networks to Control Service-Oriented Robots
    Lee, Wei-Po
    Yang, Tsung-Hsien
    WORLD CONGRESS ON ENGINEERING - WCE 2013, VOL II, 2013, : 769 - 774
  • [27] Adaptive Control for Mobile Robots with Uncertain Dynamics using Neural Networks.
    Rossomando, Francisco G.
    Soria, Carlos
    Carelli, Ricardo
    REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL, 2010, 7 (04): : 28 - +
  • [28] Control of microassembly-robots by using fuzzy-logic and neural networks
    Santa, K
    Fatikow, S
    Felso, G
    COMPUTERS IN INDUSTRY, 1999, 39 (03) : 219 - 227
  • [29] Real-time planning and control of robots using shunting neural networks
    Yang, SX
    Yuan, XB
    Meng, M
    Yuan, GF
    Li, H
    IROS 2001: PROCEEDINGS OF THE 2001 IEEE/RJS INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4: EXPANDING THE SOCIETAL ROLE OF ROBOTICS IN THE NEXT MILLENNIUM, 2001, : 1590 - 1595
  • [30] A hybrid architecture using cross-correlation and recurrent neural networks for acoustic tracking in robots
    Murray, JC
    Erwin, H
    Wermter, S
    BIOMIMETIC NEURAL LEARNING FOR INTELLIGENT ROBOTS: INTELLIGENT SYSTEMS, COGNITIVE ROBOTICS, AND NEUROSCIENCE, 2005, 3575 : 73 - 87