Abstract
This article considers a finite-time stabilization problem of nonlinear systems with actuator failures. The controlled system is in non-strict-feedback form and the system states are immeasurable. By utilizing a structure property of neural network in Lemma 4, the design difficulty caused by non-strict-feedback form is handled. By establishing a state observer and applying the approximation property of neural network, a new adaptive output-feedback control scheme is formed. Under the proposed strategy, the actuator fault is compensated successfully. Different from the existing fault-tolerant control studies, the presented adaptive output-feedback control scheme can guarantee the stability of nonlinear systems in finite time, which is of more theoretical and practical significance.
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