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This paper investigates the problem of global adaptive stabilization by output-feedback for a class of uncertain nonlinear systems.Due to the uncertain control coefficients and unknown linear growth rate, this problem is much complicated and quite difficult to solve.In this paper, a novel dynamic gain updated on-line is introduced, and based on this, high-gain K-filters are proposed to reconstruct the system states.Then, motivated by the universal control method, the backstepping design approach is developed for the adaptive output-feedback stabilizing controller.It is shown that the global stability of the closed-loop system can be guaranteed by the appropriate choice of the design parameters.A simulation example is also provided to illustrate the correctness of the theoretical results.
This paper investigates the problem of global adaptive stabilization by output-feedback for a class of uncertain nonlinear systems. Due to the uncertain control coefficients and unknown linear growth rate, this problem is much complicated and quite difficult to solve. In this paper, a novel dynamic gain updated on-line is introduced, and based on this, high-gain K-filters are proposed to reconstruct the system states..., motivated by the universal control method, the backstepping design approach is developed for the adaptive output-feedback stabilization controller.It shows that the global stability of the closed-loop system can be guaranteed by the appropriate choice of the design parameters. A simulation example is also provided to illustrate the correctness of the theoretical results.