Abstract
In this paper, an adaptive fuzzy tracking control is presented for a class of SISO nonlinear strict-feedback systems with unknown time delays. The developed control algorithm uses the Mamdani-type fuzzy systems to approximate on-line the unknown nonlinear function. The Krasovskii-functional is constructed to compensate for the unknown delayed state. The proposed controller guarantees uniform ultimate boundedness of all signals in the closed-loop system. The designed control law is independent of the time delays and has a simple form with only one adaptive parameter, which is required to be updated on-line. Simulation results are presented to verify the effectiveness of the proposed approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - The 2009 International Conference on Computer Engineering and Systems, ICCES'09 |
| Pages | 121-126 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 2009 International Conference on Computer Engineering and Systems, ICCES'09 - Cairo, Egypt Duration: Dec 14 2009 → Dec 16 2009 |
Other
| Other | 2009 International Conference on Computer Engineering and Systems, ICCES'09 |
|---|---|
| Country | Egypt |
| City | Cairo |
| Period | 12/14/09 → 12/16/09 |
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Keywords
- Adaptive fuzzy control
- Nonlinear time-delay systems
- Stability
ASJC Scopus subject areas
- Computer Science(all)
- Electrical and Electronic Engineering
Cite this
Adaptive mamdani fuzzy control for a class of nonlinear time-delays systems. / Yousef, H.; Hamdy, M.
Proceedings - The 2009 International Conference on Computer Engineering and Systems, ICCES'09. 2009. p. 121-126 5383299.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Adaptive mamdani fuzzy control for a class of nonlinear time-delays systems
AU - Yousef, H.
AU - Hamdy, M.
PY - 2009
Y1 - 2009
N2 - In this paper, an adaptive fuzzy tracking control is presented for a class of SISO nonlinear strict-feedback systems with unknown time delays. The developed control algorithm uses the Mamdani-type fuzzy systems to approximate on-line the unknown nonlinear function. The Krasovskii-functional is constructed to compensate for the unknown delayed state. The proposed controller guarantees uniform ultimate boundedness of all signals in the closed-loop system. The designed control law is independent of the time delays and has a simple form with only one adaptive parameter, which is required to be updated on-line. Simulation results are presented to verify the effectiveness of the proposed approach.
AB - In this paper, an adaptive fuzzy tracking control is presented for a class of SISO nonlinear strict-feedback systems with unknown time delays. The developed control algorithm uses the Mamdani-type fuzzy systems to approximate on-line the unknown nonlinear function. The Krasovskii-functional is constructed to compensate for the unknown delayed state. The proposed controller guarantees uniform ultimate boundedness of all signals in the closed-loop system. The designed control law is independent of the time delays and has a simple form with only one adaptive parameter, which is required to be updated on-line. Simulation results are presented to verify the effectiveness of the proposed approach.
KW - Adaptive fuzzy control
KW - Nonlinear time-delay systems
KW - Stability
UR - http://www.scopus.com/inward/record.url?scp=77950444946&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950444946&partnerID=8YFLogxK
U2 - 10.1109/ICCES.2009.5383299
DO - 10.1109/ICCES.2009.5383299
M3 - Conference contribution
SN - 9781424458448
SP - 121
EP - 126
BT - Proceedings - The 2009 International Conference on Computer Engineering and Systems, ICCES'09
ER -