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Demonstrates improved tracking control in time-varying systems, indicating enhanced performance against disturbances.
In this article, the prescribed-time output-feedback tracking control problem for time-varying output-constrained systems with unknown disturbances is addressed. First, based on the parametric Lyapunov equation (PLE), a novel time-varying state observer is constructed by a time-varying high-gain function. Then, a category of prescribed-time output-constrained functions is defined, and a class of time-varying barrier Lyapunovfunctions (BLFs) is developed. Based on these, a time-varying high-gain output-feedback tracking control scheme is designed without requiring full state information and disturbance boundary. It is proved that the proposed controller can drive the tracking error of the time-varying output-constrained system to tend to zero in a prescribed time under unknown disturbances. Finally, the prescribed-time tracking control approach is applied to a single-link robot, and several numerical simulations validate the effectiveness of the proposed method.
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Jiang et al. (2026) studied this question.
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