Abstract
Stable direct and indirect adaptive fuzzy controllers are presented for a class of interconnected nonlinear systems with unknown nonlinear subsystems and unknown nonlinear interconnections, which are represented not only in the canonical forms [1] but also in the general forms. Hybrid adaptive robust tracking control schemes which are based upon a combination of the H∞ tracking theory, and fuzzy control design are developed such that all the states and signals are bounded and an H∞ tracking control performance is guaranteed without imposing any constraints or assumptions about the interconnections. Extensive simulation example of two-link rigid robotics manipulator is provided to verify the effectiveness of the proposed algorithm.
| Original language | English |
|---|---|
| Title of host publication | ICCES'07 - 2007 International Conference on Computer Engineering and Systems |
| Pages | 27-32 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 2007 International Conference on Computer Engineering and Systems, ICCES'07 - Cairo, Egypt Duration: Nov 27 2007 → Nov 29 2007 |
Other
| Other | 2007 International Conference on Computer Engineering and Systems, ICCES'07 |
|---|---|
| Country | Egypt |
| City | Cairo |
| Period | 11/27/07 → 11/29/07 |
ASJC Scopus subject areas
- Computational Mechanics
- Control and Systems Engineering
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Cite this
Yousef, H., El-Madbouly, E., Eteim, D., & Hamdy, M. (2007). Adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems based on input-output linearization concept. In ICCES'07 - 2007 International Conference on Computer Engineering and Systems (pp. 27-32). [4447021] https://doi.org/10.1109/ICCES.2007.4447021