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The complicated dynamics of Rotorcraft-based Unmanned Aerial Vehicles (RUAVs) leads to both parametric and dynamic uncertainty. This paper introduces a hybrid control method that combines robust H2 control and adaptive control to deal with time-varying uncertainties of RUAVs. Using adaptive method, a new variable gain controller is designed to compensate the effect of uncertainty on systems. This...
A method of multi-variable neural network adaptive control based on dynamical recurrent neural network was put forward to control aeroengine with strong nonlinearity and time-varying uncertainty. In the method, nonlinear model of engine was real-time identified by dynamical recurrent neural network, and system sensitivity information was real-time feed back to neural network controller so that controller...
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