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Global Practical Tracking for Nonlinear Systems With More Unknowns via Adaptive Output‐Feedback
Authors:Shaoli Jin  Yungang Liu  Fengzhong Li
Affiliation:School of Control Science and Engineering, Shandong University, Jinan, Shandong, China
Abstract:This paper investigates the global practical tracking via adaptive output‐feedback for a class of uncertain nonlinear systems. Essentially different from the closely related literature, the system under investigation possesses unknown time‐varying control coefficients and a polynomial‐of‐output growth rate, and meanwhile, the system nonlinearities and the reference signal allow serious unknowns. For this, an adaptive observer is designed to reconstruct the system unmeasured states, where a new dynamic gain is introduced to compensate the serious unknowns in the system nonlinearities and the reference signal. Based on this and by backstepping technique, an adaptive output‐feedback controller is successfully designed, such that all the states of the closed‐loop system are bounded, and the tracking error will be prescribed sufficiently small after a finite time. A numerical simulation is provided to demonstrate the effectiveness of the proposed method.
Keywords:Uncertain nonlinear systems  global practical tracking  adaptive control  output‐feedback
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