Robust Adaptive Neural Network Optimal Control for a Class of Uncertain Nonlinear Systems

被引：0
|
作者：
Yun, Xiaoyan [1 ]
Wu, Libing [2 ]
Xu, Yang [1 ]
Cheng, Chong [3 ]
Zhang, Xiaoxia [1 ]
机构：
[1] Univ Sci & Technol Liaoning, Sch Software, Anshan 114051, Liaoning, Peoples R China
[2] Univ Sci & Technol Liaoning, Sch Sci, Anshan 114051, Liaoning, Peoples R China
[3] Acad Anal Sci Liaoning, Shenyang 110000, Liaoning, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
Adaptive control; optimal control; nonlinear function; neural network; asymptotically stable; FEEDBACK-CONTROL; OUTPUT-FEEDBACK; LINEAR-SYSTEMS; TRACKING;
D O I：
暂无
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 study is concerned with the robust adaptive neural network optimal control problem for a class of nonlinear systems with parameter uncertainties and external disturbances. By using neural network (NN) to approximate the unknown nonlinear function within a suitable compact set, a novel adaptive neural network optimal controller with the adjustable parameter updated laws is designed. Furthermore, based on the Lyapunov stability theory, it is shown that the proposed robust adaptive optimal strategy can guarantee that the closed-loop system is asymptotically stable, and the performance of the design shows excellent consistency. Finally, simulation results are provided to illustrate the effectiveness of the proposed robust adaptive optimal control scheme.
引用
收藏
页码：521 / 526
页数：6
相关论文
共 50 条
  • [41] An Adaptive Neural Networks Control for a Class of Uncertain Nonlinear Systems
    Fan, Yongqing
    Wang, Liyang
    [J]. INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL AUTOMATION (ICITIA 2015), 2015, : 611 - 618
  • [42] Robust Adaptive Neural Tracking Control for a Class of Perturbed Uncertain Nonlinear Systems With State Constraints
    Tang, Zhong-Liang
    Ge, Shuzhi Sam
    Tee, Keng Peng
    He, Wei
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (12): : 1618 - 1629
  • [43] Adaptive optimal control of a class of uncertain nonlinear systems using fuzzy logic and neural networks
    Chen, DG
    Yang, JB
    Xu, BW
    [J]. 2004 43RD IEEE CONFERENCE ON DECISION AND CONTROL (CDC), VOLS 1-5, 2004, : 5094 - 5099
  • [44] Adaptive neural network robust tracking design for a class of uncertain nonlinear system
    Yang, Haijiao
    Zheng, Xiaolong
    Yin, Yunfei
    Wu, Tingting
    [J]. 2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC), 2014, : 1252 - 1256
  • [45] Adaptive neural network control of a class of nonlinear systems
    Benallegue, A
    Meddah, DY
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2001, 7 (04): : 273 - 285
  • [46] Adaptive neural network control for a class of nonlinear systems
    [J]. Du, H.-B. (ben-du@hotmail.com), 2005, Northeast University (20):
  • [47] Robust Adaptive Control Design for a Class of Uncertain MIMO Nonlinear Systems
    Wang, Z.
    Chen, J.
    Behal, A.
    [J]. 2010 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 2010, : 2284 - 2289
  • [48] Robust Adaptive Fuzzy Control for a Class of Uncertain Nonlinear Fractional Systems
    Khettab, Khatir
    Bensafia, Yassine
    Ladaci, Samir
    [J]. RECENT ADVANCES IN ELECTRICAL ENGINEERING AND CONTROL APPLICATIONS, 2017, 411 : 276 - 294
  • [49] Robust adaptive trajectory linearization control for a class of uncertain nonlinear systems
    Zhu, Liang
    Jing, Zhongliang
    Hu, Shiqiang
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 1396 - 1400
  • [50] Adaptive Neural Network Control for a Class of Nonlinear Systems
    Yang, Chao
    Jia, Yingmin
    Chen, Changqing
    [J]. PROCEEDINGS OF 2016 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL II, 2016, 405 : 143 - 151
12345