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A novel scheme for diagnosing sensor failures in a flight control system is presented. In the proposed scheme, a set of self-organizing fuzzy systems named as SAFISs are applied as the online approximators for recognizing the sensor outputs in order to determine the failure detection, identification and accommodation (FDIA). SAFIS is an online learning fuzzy system with concurrent structure and parameter...
In this paper, a Model Reference Adaptive Neural Control (MRANC) that uses both off-line and online learning strategies and Single Hidden Layer Feedforward Networks (SLFNs) is proposed for a class of nonlinear systems. In the proposed scheme, one SLFN is used as the identifier to identify the unknown nonlinear system and then the other SLFN is used as the controller to construct the control law based...
The paper presents an indirect adaptive fuzzy-neuro control scheme for a general high-order nonlinear continuous system. In the proposed scheme a fuzzy-neuro controller constructed based on the fuzzy neural networks for approximating the unknown nonlinearities of dynamic systems, and a sliding mode controller constructed to compensate for the modelling errors of fuzzy neural networks are incorporated...
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