Abstract
This paper proposes a new output-feedback adaptive fuzzy controller for SISO affine nonlinear systems. The previous output-feed-back control algorithms are all based on the state observer (e.g., higher-order-observer) or additional low-pass filter to make the estimation error dynamics SPR, which makes the stability analysis of the closed-loop system and real implementation very complicated. The distinguished aspect of the proposed output-feedback control algorithm is that no state observer or low-pass filter is employed. Only the output error is used to generate control input and update laws for unknown fuzzy parameters. The stability analysis depends heavily on the universal function approximation property of the fuzzy system to estimate unknown function of the desired control input. It is shown that, combining this simple output feedback control algorithm with fuzzy system, the Lyapunov stability of the closed-loop system is globally guaranteed.
Original language | English |
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Title of host publication | Canadian Conference on Electrical and Computer Engineering |
Pages | 359-362 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2007 Dec 1 |
Event | 2006 Canadian Conference on Electrical and Computer Engineering, CCECE'06 - Ottawa, ON, Canada Duration: 2006 May 7 → 2006 May 10 |
Other
Other | 2006 Canadian Conference on Electrical and Computer Engineering, CCECE'06 |
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Country | Canada |
City | Ottawa, ON |
Period | 06/5/7 → 06/5/10 |
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Keywords
- Formatting of text
- Manuscript preparation
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Hardware and Architecture
Cite this
Robust adaptive fuzzy controller for SISO affine nonlinear systems without state observer. / Seo, Sam Jun; Kim, Dong Sik; Yoo, Ji Yoon.
Canadian Conference on Electrical and Computer Engineering. 2007. p. 359-362 4054567.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Robust adaptive fuzzy controller for SISO affine nonlinear systems without state observer
AU - Seo, Sam Jun
AU - Kim, Dong Sik
AU - Yoo, Ji Yoon
PY - 2007/12/1
Y1 - 2007/12/1
N2 - This paper proposes a new output-feedback adaptive fuzzy controller for SISO affine nonlinear systems. The previous output-feed-back control algorithms are all based on the state observer (e.g., higher-order-observer) or additional low-pass filter to make the estimation error dynamics SPR, which makes the stability analysis of the closed-loop system and real implementation very complicated. The distinguished aspect of the proposed output-feedback control algorithm is that no state observer or low-pass filter is employed. Only the output error is used to generate control input and update laws for unknown fuzzy parameters. The stability analysis depends heavily on the universal function approximation property of the fuzzy system to estimate unknown function of the desired control input. It is shown that, combining this simple output feedback control algorithm with fuzzy system, the Lyapunov stability of the closed-loop system is globally guaranteed.
AB - This paper proposes a new output-feedback adaptive fuzzy controller for SISO affine nonlinear systems. The previous output-feed-back control algorithms are all based on the state observer (e.g., higher-order-observer) or additional low-pass filter to make the estimation error dynamics SPR, which makes the stability analysis of the closed-loop system and real implementation very complicated. The distinguished aspect of the proposed output-feedback control algorithm is that no state observer or low-pass filter is employed. Only the output error is used to generate control input and update laws for unknown fuzzy parameters. The stability analysis depends heavily on the universal function approximation property of the fuzzy system to estimate unknown function of the desired control input. It is shown that, combining this simple output feedback control algorithm with fuzzy system, the Lyapunov stability of the closed-loop system is globally guaranteed.
KW - Formatting of text
KW - Manuscript preparation
UR - http://www.scopus.com/inward/record.url?scp=39049165571&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=39049165571&partnerID=8YFLogxK
U2 - 10.1109/CCECE.2006.277473
DO - 10.1109/CCECE.2006.277473
M3 - Conference contribution
AN - SCOPUS:39049165571
SN - 1424400384
SN - 9781424400386
SP - 359
EP - 362
BT - Canadian Conference on Electrical and Computer Engineering
ER -