Output-feedback tracking control for interval type-2 polynomial fuzzy-model-based control systems

被引:51
作者
Xiao, Bo [1 ]
Lam, H. K. [1 ]
Song, Ge [1 ]
Li, Hongyi [2 ]
机构
[1] Kings Coll London, Dept Informat, London WC2R 2LS, England
[2] Bohai Univ, Coll Engn, Jinzhou 121013, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Fuzzy tracking control; Interval type-2 fuzzy logic; Polynomial fuzzy-model-based (PFMB); control systems; Stability analysis; Sum of squares (SOS); H-INFINITY CONTROL; LMI-BASED DESIGNS; STABILITY ANALYSIS; MEMBERSHIP FUNCTIONS; NONLINEAR-SYSTEMS; LOGIC SYSTEMS; LYAPUNOV FUNCTION; OBSERVER DESIGN; TIME; STABILIZATION;
D O I
10.1016/j.neucom.2017.02.049
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the output tracking control issues of polynomial-fuzzy-model-based (PFMB) systems equipped with mismatched interval type-2 (IT2) membership functions are investigated. The output feedback IT2 polynomial fuzzy controller connected with the nonlinear plant in a closed loop drives the system states of the nonlinear plant to track those of a stable reference model. The system stability is investigated based on the Lyapunov stability theory under the sum-of-squares (SOS)-based analysis approach and the SOS -based stability conditions are derived subjecting to an H-infinity performance. In addition, the fuzzy controller does not need to share the same membership functions with the plant. Moreover, the information of membership functions is included in the analysis to facilitate the analysis and relax the stability conditions. Numerical and experimental examples are presented to verify the effectiveness of the proposed tracking control approach. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:83 / 95
页数:13
相关论文
共 50 条
  • [21] Less conservative output-feedback tracking control design for polynomial fuzzy systems
    Pakkhesal, Sajjad
    Mohammadzaman, Iman
    IET CONTROL THEORY AND APPLICATIONS, 2018, 12 (13) : 1843 - 1852
  • [22] Interval Type-2 Fuzzy Model Predictive Control of Nonlinear Networked Control Systems
    Lu, Qing
    Shi, Peng
    Lam, Hak-Keung
    Zhao, Yuxin
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 23 (06) : 2317 - 2328
  • [23] Interval Type-2 Fuzzy-Model-Based Sampled-Data Control of an AUV Depth System with Input Saturation
    An, Ji Ho
    Kim, Han Sol
    ACTUATORS, 2024, 13 (02)
  • [24] Output Regulation of Polynomial-Fuzzy-Model-Based Control Systems
    Lam, H. K.
    Lo, J. C.
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2013, 21 (02) : 262 - 274
  • [25] Dynamic-output-feedback based interval type-2 fuzzy control for nonlinear active suspension systems with actuator saturation and delay
    Xie, Zhengchao
    Wang, Deli
    Wong, Pak Kin
    Li, Wenfeng
    Zhao, Jing
    INFORMATION SCIENCES, 2022, 607 : 1174 - 1194
  • [26] Fuzzy-Model-Based Output Feedback Sliding-Mode Control for Discrete-Time Uncertain Nonlinear Systems
    Ji, Wenqiang
    Qiu, Jianbin
    Karimi, Hamid Reza
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (08) : 1519 - 1530
  • [27] State feedback control of interval type-2 Takagi-Sugeno fuzzy systems via interval type-2 regional switching fuzzy controllers
    Zhao, Tao
    Xiao, Jian
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2015, 46 (15) : 2756 - 2769
  • [28] Fuzzy decentralized output feedback event-triggered control for interval type-2 fuzzy systems with saturated inputs
    Song, Wenting
    Tong, Shaocheng
    INFORMATION SCIENCES, 2021, 575 : 639 - 653
  • [29] Interval Type-2 Fuzzy-Model-Based Control Design for Time-Delay Systems under Imperfect Premise Matching
    Li, Yuandi
    Lam, H. K.
    Zhang, Lixian
    Li, Hongyi
    Liu, Fucai
    Tsai, Shun-Hung
    2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015), 2015,
  • [30] State and Output Feedback Control of Interval Type-2 Fuzzy Systems With Mismatched Membership Functions
    Li, Hongyi
    Sun, Xingjian
    Wu, Ligang
    Lam, H. K.
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 23 (06) : 1943 - 1957