Abstract
In this paper, an adaptive fuzzy robust feedback control approach is proposed for a class of single-input and single-output (SISO) strict-feedback nonlinear systems with unknown nonlinear functions, time delays, unknown high-frequency gain sign, and without the measurements of the states. In the backstepping recursive design, fuzzy logic systems are employed to approximate the unknown smooth nonlinear functions, K-filters is designed to estimate the unmeasured states, and Nussbaum gain functions are introduced to solve the problem of unknown sign of high-frequency gain. By combining adaptive fuzzy control theory and adaptive backstepping design, a stable adaptive fuzzy output feedback control scheme is developed. It has been proven that the proposed adaptive fuzzy robust control approach can guarantee that all the signals of the closed-loop system are uniformly ultimately bounded and the tracking error can converge to a small neighborhood of the origin by appropriately choosing design parameters. Simulation results have shown the effectiveness of the proposed method.
Original language | English |
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Pages (from-to) | 14-22 |
Number of pages | 9 |
Journal | International Journal of Automation and Computing |
Volume | 8 |
Issue number | 1 |
DOIs | |
Publication status | Published - Feb 2011 |
Keywords
- K-filters
- Nonlinear systems
- adaptive fuzzy control
- backstepping
- high-frequency gain sign
- stability
- time-delay