Abstract
A fault-tolerant control (FTC) approach based on neural network (NN) inversion method is proposed for multi-input, multi-output (MIMO) unknown non-linear dynamic system. An adaptive multi-layer perceptron network (MLPN) on-line learns the system non-linear dynamic, including behaviour of system with actuator or component faults. This MLPN is inverted based on the Extended Kalman-filter (EKF) to estimate the appropriate control action to the non-linear system. The stability of the NN inversion is proved with Lyapunov method. The results of FTC application to a continuous stirred tank reactor (CSTR) process simulation show that the controlled faulty system maintains the control performance and stability.
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