Казанский (Приволжский) федеральный университет, КФУ
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FUNCTION APPROXIMATION TECHNIQUE BASED IMMERSION AND INVARIANCE CONTROL FOR UNKNOWN NONLINEAR SYSTEMS
Форма представленияСтатьи в зарубежных журналах и сборниках
Год публикации2020
Языканглийский
  • Магид Евгений Аркадьевич, автор
  • Библиографическое описание на языке оригинала Bai Y. Function Approximation Technique Based Immersion and Invariance Control for Unknown Nonlinear Systems / Wang Y., Svinin M., Magid E., Sun R. // IEEE Control Systems Letters. - 2020. - Vol 4(4). - p. 934-939.
    Аннотация A function approximation technique based immersion and invariance (FATII) control method is proposed in this letter. Firstly, an unknown control system is restructured as the combination of an auxiliary system and a variation term from the original system. The variation term is treated as a time-varying uncertainty and parameterized by a group of weighted chosen basis functions. These weights are estimated at every time instant and the change of the estimates is governed by an update law. The update law is defined based on an immersion and invariance approach such that both the system state and the estimation error converge to zero. The FATII method is model-free and thus applicable to a wide range of systems. The asymptotic stability of the proposed method is established and its feasibility is verified under simulations.
    Ключевые слова Robust adaptive control, uncertain systems
    Название журнала IEEE Control Systems Letters
    URL https://ieeexplore.ieee.org/document/9099860
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