Output Based Fault Tolerant Control of Nonlinear Systems Using RBF Neural Networks
In this paper, an output based fault tolerant controller using radius basis function (RBF) neural networks is proposed which eliminates the assumption that all the states are measured given in Polycarpou’s method. Inputs of the neural network are estimated states instead of measured states. Outputs of the neural network compensate the effect of a fault. The closed-loop stability of the scheme is established. An engine model is simulated in the end to verify the efficiency of the scheme.
KeywordsNonlinear System Nonlinear Control System Output Feedback Control SISO System High Gain Observer
Unable to display preview. Download preview PDF.