Nonlinear system identification using genetic algorithms with application to feedforward control design

被引：0
|
作者：
Luh, GC [1 ]
Rizzoni, G [1 ]
机构：
[1] Tatung Inst Technol, Dept Mech Engn, Taipei, Taiwan
来源：
PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 1998年
关键词：
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：
A GAMAS-based system identification scheme is developed to construct NARX model of nonlinear systems. Several simulated examples demonstrate that it can be applied to identify both nonlinear continuous-time systems and discrete-time systems with acceptable accuracy. Inverting the identified NARX model, a feedforward controller may be derived to track desired time varying signal of nonlinear systems. Sufficient conditions of the invertibility of NARX model are proposed to investigate the existence of the inverse model. Simulation results depict the effectiveness of the feedforward controller with the aid of simple feedback controller designed for regulation purpose.
引用
下载
收藏
页码：2371 / 2375
页数：5
相关论文
共 50 条
  • [1] Nonlinear system identification with Genetic Algorithms
    Li, Y
    Han, CZ
    Dang, YN
    PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 597 - 601
  • [2] SYSTEM-IDENTIFICATION AND CONTROL USING GENETIC ALGORITHMS
    KRISTINSSON, K
    DUMONT, GA
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1992, 22 (05): : 1033 - 1046
  • [3] Improved MIMO system identification and control using genetic algorithms
    Cox, CS
    French, IG
    Ho, CKS
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 1996, 74 (A1): : 97 - 105
  • [4] The nonlinear systems identification using genetic algorithms
    Yang, Huaqian
    Zhang, Wei
    Wei, Pengcheng
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: 50 YEARS' ACHIEVEMENTS, FUTURE DIRECTIONS AND SOCIAL IMPACTS, 2006, : 275 - 277
  • [5] System Identification Using Genetic Algorithms
    Nowakova, Jana
    Pokorny, Miroslav
    PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INNOVATIONS IN BIO-INSPIRED COMPUTING AND APPLICATIONS (IBICA 2014), 2014, 303 : 413 - 418
  • [6] A hybrid robust power system control design combining system identification and genetic algorithms
    Tito, FL
    Taranto, GN
    Pellanda, PC
    PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1998, : 3403 - 3407
  • [7] Data-driven feedforward control design for nonlinear systems: A control-oriented system identification approach
    Bolderman, Max
    Lazar, Mircea
    Butler, Hans
    2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, 2023, : 4530 - 4535
  • [8] Nonlinear control algorithms and power system application
    Mohler, RR
    Zakrzewski, RR
    Vedam, R
    APPLIED MATHEMATICS AND COMPUTATION, 1996, 78 (2-3) : 197 - 207
  • [9] Application of feedforward neural networks to dynamical system identification and control
    Kuschewski, John G.
    Hui, Stefen
    Zak, Stanislaw H.
    IEEE Transactions on Control Systems Technology, 1993, 1 (01) : 37 - 49
  • [10] Nonlinear parametric model identification using genetic algorithms
    Pedroso-Rodriguez, LM
    Marrero, A
    de Arazoza, H
    ARTIFICIAL NEURAL NETS PROBLEM SOLVING METHODS, PT II, 2003, 2687 : 473 - 480
12345