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What is Adaptive Tracking Control for Nonlinear Systems about?

This paper presents a novel composite anti-disturbance asymptotic tracking control strategy for nonlinear non-strict feedback systems, addressing challenges posed by unknown nonlinearities and external disturbances. It introduces an adaptive learning disturbance observer (ALDO) that estimates disturbances in real-time, reducing reliance on prior knowledge and ensuring stability. The effectiveness of the proposed control strategy is demonstrated through a practical application involving an electromechanical

Author

Manh-Hung Nguyen

Language

EN