Abstract
In order to solve the problem on variable faults with time, this paper presents an intelligence fusion system based on gain scheduling control and hybrid neural networks for system fault detection and fault-tolerant control. In the system, an intelligent method based on hybrid neural networks is designed for state estimation and fault diagnosis, and a gain scheduling controller is adapted for system control. The system fusion scheme and its applications in ocean ship fault detection and fault tolerant control will be discussed.
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