Adaptive Fuzzy Control for Nonlinear Time‐Delay Systems with Dynamical Uncertainties |
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Authors: | Shaocheng Tong Ning Sheng Yongming Li |
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Affiliation: | Department of Mathematics, Liaoning University of Technology, , Jinzhou, Liaoning, 121000 China |
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Abstract: | In this paper, an adaptive fuzzy backstepping robust control approach is proposed for a class of SISO nonlinear strict‐feedback systems. The nonlinear systems addressed in this paper are assumed to possess three uncertainties: (i) the unstructured uncertainties; (ii) the time delays; and (iii) the dynamics uncertainties. In adaptive backstepping recursive design, fuzzy logic systems are used to approximate the unstructured uncertainties. A nonlinear damping technique and Lyapunov–Krasovskii functions are introduced to cancel the effects of the dynamics uncertainties and deal with the time delays, respectively. Combining the backstepping technique and a small gain approach, a stable adaptive fuzzy robust control approach is developed. It is proved that all the signals of the closed‐loop system are semi‐golablly uniformaly ultimately bounded (SUUB). The effectiveness of the proposed approach is illustrated by a simulation example. |
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Keywords: | Fuzzy logic systems nonlinear systems time delays backstepping technique small gain theorem stability analysis |
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