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 proposed algorithm does not use the backstepping scheme rather it converts the strict-feedback time-delayed system to the normal form. The Mamdani-type fuzzy system is employed to approximate online the unknown lumped nonlinear function. The developed 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 vector, which is required to be updated on-line. As a result, the proposed control algorithm is considerably simpler than the previous ones based on backstepping. Simulation results are presented to verify the effectiveness of the proposed approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE Conference on Decision and Control |
| Pages | 3700-3705 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, GA, United States Duration: Dec 15 2010 → Dec 17 2010 |
Other
| Other | 2010 49th IEEE Conference on Decision and Control, CDC 2010 |
|---|---|
| Country | United States |
| City | Atlanta, GA |
| Period | 12/15/10 → 12/17/10 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Modelling and Simulation
- Control and Optimization
Cite this
Adaptive fuzzy control for strict-feedback nonlinear time -delay systems without backstepping scheme. / Yousef, Hasan A.; Hamdy, Mohamed; Shafiq, Muhammad.
Proceedings of the IEEE Conference on Decision and Control. 2010. p. 3700-3705 5717403.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Adaptive fuzzy control for strict-feedback nonlinear time -delay systems without backstepping scheme
AU - Yousef, Hasan A.
AU - Hamdy, Mohamed
AU - Shafiq, Muhammad
PY - 2010
Y1 - 2010
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 proposed algorithm does not use the backstepping scheme rather it converts the strict-feedback time-delayed system to the normal form. The Mamdani-type fuzzy system is employed to approximate online the unknown lumped nonlinear function. The developed 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 vector, which is required to be updated on-line. As a result, the proposed control algorithm is considerably simpler than the previous ones based on backstepping. 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 proposed algorithm does not use the backstepping scheme rather it converts the strict-feedback time-delayed system to the normal form. The Mamdani-type fuzzy system is employed to approximate online the unknown lumped nonlinear function. The developed 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 vector, which is required to be updated on-line. As a result, the proposed control algorithm is considerably simpler than the previous ones based on backstepping. Simulation results are presented to verify the effectiveness of the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=79953155083&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79953155083&partnerID=8YFLogxK
U2 - 10.1109/CDC.2010.5717403
DO - 10.1109/CDC.2010.5717403
M3 - Conference contribution
AN - SCOPUS:79953155083
SN - 9781424477456
SP - 3700
EP - 3705
BT - Proceedings of the IEEE Conference on Decision and Control
ER -