Abstract
An observer-based adaptive fuzzy control is presented for a class of nonlinear systems with unknown time delays. State observer is first designed, and then based on the observed states the controller is designed via adaptive fuzzy control method. Both the designed observer and controller are independent of the time delays. Using an appropriate Lyapunov-Krasovskii functional, uncertainty of the unknown time delay is compensated for, and then the fuzzy logic system in Mamdani type is utilized to approximate the unknown nonlinear functions. Based on Lyapunov stability theory, the constructed observer-based controller and the closed-loop system is proved to be asymptotically stable. 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. Simulation results are presented to demonstrate the effectiveness of the proposed approach.
| Original language | English |
|---|---|
| Title of host publication | IECON Proceedings (Industrial Electronics Conference) |
| Pages | 2307-2312 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 - Montreal, QC, Canada Duration: Oct 25 2012 → Oct 28 2012 |
Other
| Other | 38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 |
|---|---|
| Country | Canada |
| City | Montreal, QC |
| Period | 10/25/12 → 10/28/12 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
Fuzzy observer-based adaptive control for a class of nonlinear systems with unknown time delays. / Yousef, Hassan A.; Hamdy, Mohamed.
IECON Proceedings (Industrial Electronics Conference). 2012. p. 2307-2312 6388879.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Fuzzy observer-based adaptive control for a class of nonlinear systems with unknown time delays
AU - Yousef, Hassan A.
AU - Hamdy, Mohamed
PY - 2012
Y1 - 2012
N2 - An observer-based adaptive fuzzy control is presented for a class of nonlinear systems with unknown time delays. State observer is first designed, and then based on the observed states the controller is designed via adaptive fuzzy control method. Both the designed observer and controller are independent of the time delays. Using an appropriate Lyapunov-Krasovskii functional, uncertainty of the unknown time delay is compensated for, and then the fuzzy logic system in Mamdani type is utilized to approximate the unknown nonlinear functions. Based on Lyapunov stability theory, the constructed observer-based controller and the closed-loop system is proved to be asymptotically stable. 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. Simulation results are presented to demonstrate the effectiveness of the proposed approach.
AB - An observer-based adaptive fuzzy control is presented for a class of nonlinear systems with unknown time delays. State observer is first designed, and then based on the observed states the controller is designed via adaptive fuzzy control method. Both the designed observer and controller are independent of the time delays. Using an appropriate Lyapunov-Krasovskii functional, uncertainty of the unknown time delay is compensated for, and then the fuzzy logic system in Mamdani type is utilized to approximate the unknown nonlinear functions. Based on Lyapunov stability theory, the constructed observer-based controller and the closed-loop system is proved to be asymptotically stable. 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. Simulation results are presented to demonstrate the effectiveness of the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=84872973070&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872973070&partnerID=8YFLogxK
U2 - 10.1109/IECON.2012.6388879
DO - 10.1109/IECON.2012.6388879
M3 - Conference contribution
AN - SCOPUS:84872973070
SN - 9781467324212
SP - 2307
EP - 2312
BT - IECON Proceedings (Industrial Electronics Conference)
ER -