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 |
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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 |
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Country | Egypt |
City | Cairo |
Period | 12/14/09 → 12/16/09 |
Keywords
- Adaptive fuzzy control
- Nonlinear time-delay systems
- Stability
ASJC Scopus subject areas
- Computer Science(all)
- Electrical and Electronic Engineering