Nonlinear Discrete-time Adaptive Controller based on Fuzzy rules Emulated Network and its Estimated Gradient

被引：0
|
作者：
Treesatayapun, Chidentree [1 ]
Parra Vega, Vicente [1 ]
Ruiz Sanchez, Francisco Jose [1 ]
机构：
[1] CINVESTAV, Dept Robot & Mfg, Saltillo 25900, Coahuila, Mexico
来源：
SEVENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICMLA.2008.108
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The adaptive controller for a class of nonlinear discrete-time systems based on Multi-Input Fuzzy Rules Emulated Network (MIFREN) is introduced in this article. MIFREN is assigned to identify the unknown plant under control, then a novel control law is introduced based the previously identified plant with another MIFREN. All control parameters, including the learning rates are selected to guarantee bounded close-loop signals, via Lyapunov stability criteria. The performance of the proposed control algorithm is demonstrated by computer simulation results.
引用
收藏
页码：892 / +
页数：2
相关论文
共 50 条
  • [21] Discrete-Time Adaptive Controller Based on Estimated Pseudopartial Derivative and Reaching Sliding Condition
    Treesatayapun, Chidentree
    [J]. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2016, 138 (10):
  • [22] Model-free direct adaptive controller based on quantum-inspired fuzzy rules network for a class of unknown discrete-time systems
    Treesatayapun, C.
    [J]. Journal of the Franklin Institute, 2024, 361 (04)
  • [23] Model-free direct adaptive controller based on quantum-inspired fuzzy rules network for a class of unknown discrete-time systems
    Treesatayapun, C.
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (04):
  • [24] A data-driven adaptive controller for a class of unknown nonlinear discrete-time systems with estimated PPD
    Treesatayapun, Chidentree
    [J]. ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 2015, 18 (02): : 218 - 228
  • [25] Output Feedback Controller for a Class of Unknown Nonlinear Discrete Time Systems Using Fuzzy Rules Emulated Networks and Reinforcement Learning
    Treesatayapun, C.
    [J]. FUZZY INFORMATION AND ENGINEERING, 2021, 13 (03) : 368 - 390
  • [26] Indirect adaptive fuzzy control of discrete-time nonlinear systems
    Yuan, ZD
    Hou, SH
    [J]. PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 1770 - 1774
  • [27] Adaptive fuzzy control for a class of discrete-time nonlinear systems
    Han, HG
    Su, CY
    Murakami, S
    [J]. 10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE, 2001, : 892 - 895
  • [28] Adaptive Fuzzy Control of a Class of Discrete-Time Nonlinear Systems
    Zhao, Yan
    [J]. 2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 1039 - 1042
  • [29] ROBUST FUZZY PID CONTROLLER FOR DISCRETE-TIME UNCERTAIN NONLINEAR SYSTEMS
    Aydi, Amira
    Zaidi, Imen
    Djemel, Mohamed
    Chtourou, Mohamed
    [J]. 2009 6TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES, VOLS 1 AND 2, 2009, : 174 - 179
  • [30] A Fuzzy Neural Network based Adaptive Terminal Iterative Learning Control for Nonaffine Nonlinear Discrete-Time Systems
    Wang, Ying-Chung
    Chien, Chiang-Ju
    Chi, Ronghu
    [J]. 2014 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2014), 2014, : 163 - 167
12345