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Conference Papers Year : 2020

Adaptive stabilization by delay with biased measurements


The problem of output robust adaptive stabilization for a class of Lipschitz nonlinear systems is studied under assumption that the measurements are available with a constant bias. The state reconstruction is avoided by using delayed values of the output in the feedback and adaptation laws. The control and adaptation gains can be selected as a solution of the proposed linear matrix inequalities (LMIs). The efficiency of the presented approach is demonstrated on a nonlinear pendulum through simulations.


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hal-02634582 , version 1 (27-05-2020)


  • HAL Id : hal-02634582 , version 1


Denis Efimov, Stanislav Aranovskiy, Emilia Fridman, Dmitry Sokolov, Jian Wang, et al.. Adaptive stabilization by delay with biased measurements. IFAC 2020 - 21st IFAC World Congress, Jul 2020, Berlin, Germany. ⟨hal-02634582⟩
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