Model-free predictive control for a class of asymmetric nonlinear systems

被引:0
|
作者
Su, Baili [1 ,2 ]
Tian, Ye [1 ]
Wang, Yunshuo [1 ]
机构
[1] Qufu Normal Univ, Coll Engn, Rizhao, Shandong, Peoples R China
[2] Qufu Normal Univ, Coll Engn, Rizhao 276826, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
compact format dynamic linearization; improved projection tomography algorithm; model-free predictive control; nonlinear asymmetric system; STABILIZATION; DESIGN;
D O I
10.1002/asjc.3097
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A model-free predictive control (MFPC) method is proposed for a kind of discrete nonlinear asymmetric systems (NASs) whose models are undefined. According to the dynamic characteristics of the asymmetric system, the compact format dynamic linearization (CFDL) technology and the improved projection algorithm are adopted to set up models for the controlled NAS. Then, based on the estimation models, the explicit analytical solution of the controller is obtained by solving the quadratic function of finite-time domain rolling optimization. Finally, a switching law is designed to make the system switch reasonably between the positive and negative models, thus ensuring the stability of the whole system. The effectiveness of the proposed method is testified by a simulation example.
引用
收藏
页码:4291 / 4301
页数:11
相关论文
共 50 条
  • [1] Model-free Adaptive PI predictive control for a class of nonlinear SISO systems
    Li, Xiaoke
    Li, Hongxin
    Wei, Yaohua
    [J]. 2015 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS IHMSC 2015, VOL I, 2015, : 101 - 104
  • [2] Quantized Data Driven Model-Free Adaptive Predictive Control for a Class of Nonlinear Systems
    Liu, Genfeng
    Hou, Zhongsheng
    [J]. 2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS, 2023, : 1105 - 1110
  • [3] Model-Free Predictive Control for a Kind of High Order Nonlinear Systems
    Ye Tian
    Baili Su
    [J]. Journal of Harbin Institute of Technology(New series), 2022, (02) : 62 - 69
  • [4] Polynomial Regression Based Model-Free Predictive Control for Nonlinear Systems
    Li, Hongran
    Yamamoto, Shigeru
    [J]. 2016 55TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2016, : 578 - 582
  • [5] Model-free adaptive backstepping control for a class of uncertain nonlinear systems
    Segheri, Mohamed
    Boudjemaa, Fares
    Nemra, Abdelkrim
    Bibi, Youssouf
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024, 46 (07) : 1317 - 1330
  • [6] Model-free adaptive tensor product control for a class of nonlinear systems
    Zhao, Dongya
    Gao, Shouli
    Li, Fei
    Yan, Xinggang
    Spurgeon, Sarah K.
    [J]. CONTROL ENGINEERING PRACTICE, 2024, 147
  • [7] Model-free adaptive control for a class of nonlinear systems with uniform quantizer
    Bu, Xuhui
    Zhu, Panpan
    Yu, Qiongxia
    Hou, Zhongsheng
    Liang, Jiaqi
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (16) : 6383 - 6398
  • [8] The model-free learning adaptive control of a class of SISO nonlinear systems
    Hou, ZS
    Huang, WH
    [J]. PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1997, : 343 - 344
  • [9] Model-Free Adaptive State Feedback Control for a Class of Nonlinear Systems
    Gao, Shouli
    Zhao, Dongya
    Yan, Xinggang
    Spurgeon, Sarah K. K.
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 21 (02) : 1824 - 1836
  • [10] A Model-free Adaptive Switching Control Approach for a Class of Nonlinear Systems
    Jin Shang-tai
    Hou Zhong-sheng
    Chi Rong-hu
    [J]. 2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 409 - 413