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Adaptive asymptotical tracking controller design for uncertain nonaffine nonlinear system with high‐order mismatched disturbances
Author(s) -
Sun Haibin,
Zong Guangdeng,
Li Chaojie,
Yu Xinghuo
Publication year - 2019
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2984
Subject(s) - control theory (sociology) , differentiator , backstepping , integrator , controller (irrigation) , nonlinear system , tracking (education) , feed forward , computer science , tracking error , lyapunov function , lyapunov stability , filter (signal processing) , mathematics , adaptive control , control engineering , engineering , control (management) , artificial intelligence , agronomy , computer vision , biology , psychology , computer network , pedagogy , physics , bandwidth (computing) , quantum mechanics
Summary In this paper, the problem of anti‐disturbance asymptotical tracking control is studied for nonaffine systems with high‐order mismatched disturbances. The disturbances can be described as polynomial functions, which are first estimated by constructing generalized extended state filter. The nonaffine system is changed into an augmented affine system via introducing an auxiliary integrator. A novel adaptive anti‐disturbance tracking controller is recursively designed, where the disturbance estimation is used for feedforward compensation at each step. A sliding mode differentiator is applied to reduce the computational burden taken by the backstepping method. The boundedness of the closed‐loop system is proved based on Lyapunov stability theory and zero error tracking performance is ensured. Finally, a numerical example is provided to show the effectiveness of the proposed scheme.