Combined direct/indirect adaptive fuzzy-neural networks control with state observer and supervisory controller for nonlinear dynamic systems

Chi-Hsu Wang; Tsung Chih Lin; Han Leih Liu

doi:10.1109/FUZZ.2001.1009096

Combined direct/indirect adaptive fuzzy-neural networks control with state observer and supervisory controller for nonlinear dynamic systems

Chi-Hsu Wang^*
, Tsung Chih Lin
, Han Leih Liu

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

A state observer-based combined direct/indirect adaptive FNN controller with supervisory controller for a class of uncertain nonlinear dynamic systems is developed in this paper. The combined adaptive FNN controller, whose free parameters can be tuned on-line by observer-based output feedback control law and adaptive law, is a combination of direct and indirect adaptive FNN controllers. A weighting factor, which is adjusted by trade-off between plant knowledge and control knowledge, appended between indirect adaptive FNN control and direct adaptive FNN control. A supervisory controller is appended into the FNN controller to force the state to be within the constraint set.

Original language	English
Pages	880-883
Number of pages	4
DOIs	https://doi.org/10.1109/FUZZ.2001.1009096
State	Published - 1 Dec 2001
Event	10th IEEE International Conference on Fuzzy Systems - Melbourne, Australia Duration: 2 Dec 2001 → 5 Dec 2001

Conference

Conference	10th IEEE International Conference on Fuzzy Systems
Country/Territory	Australia
City	Melbourne
Period	2/12/01 → 5/12/01

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10.1109/FUZZ.2001.1009096

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title = "Combined direct/indirect adaptive fuzzy-neural networks control with state observer and supervisory controller for nonlinear dynamic systems",

abstract = "A state observer-based combined direct/indirect adaptive FNN controller with supervisory controller for a class of uncertain nonlinear dynamic systems is developed in this paper. The combined adaptive FNN controller, whose free parameters can be tuned on-line by observer-based output feedback control law and adaptive law, is a combination of direct and indirect adaptive FNN controllers. A weighting factor, which is adjusted by trade-off between plant knowledge and control knowledge, appended between indirect adaptive FNN control and direct adaptive FNN control. A supervisory controller is appended into the FNN controller to force the state to be within the constraint set.",

author = "Chi-Hsu Wang and Lin, \{Tsung Chih\} and Liu, \{Han Leih\}",

year = "2001",

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doi = "10.1109/FUZZ.2001.1009096",

language = "English",

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AU - Wang, Chi-Hsu

AU - Lin, Tsung Chih

AU - Liu, Han Leih

PY - 2001/12/1

Y1 - 2001/12/1

N2 - A state observer-based combined direct/indirect adaptive FNN controller with supervisory controller for a class of uncertain nonlinear dynamic systems is developed in this paper. The combined adaptive FNN controller, whose free parameters can be tuned on-line by observer-based output feedback control law and adaptive law, is a combination of direct and indirect adaptive FNN controllers. A weighting factor, which is adjusted by trade-off between plant knowledge and control knowledge, appended between indirect adaptive FNN control and direct adaptive FNN control. A supervisory controller is appended into the FNN controller to force the state to be within the constraint set.

AB - A state observer-based combined direct/indirect adaptive FNN controller with supervisory controller for a class of uncertain nonlinear dynamic systems is developed in this paper. The combined adaptive FNN controller, whose free parameters can be tuned on-line by observer-based output feedback control law and adaptive law, is a combination of direct and indirect adaptive FNN controllers. A weighting factor, which is adjusted by trade-off between plant knowledge and control knowledge, appended between indirect adaptive FNN control and direct adaptive FNN control. A supervisory controller is appended into the FNN controller to force the state to be within the constraint set.

UR - https://www.scopus.com/pages/publications/0036346231

U2 - 10.1109/FUZZ.2001.1009096

DO - 10.1109/FUZZ.2001.1009096

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T2 - 10th IEEE International Conference on Fuzzy Systems

Y2 - 2 December 2001 through 5 December 2001

ER -

Combined direct/indirect adaptive fuzzy-neural networks control with state observer and supervisory controller for nonlinear dynamic systems

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