IEEE Transactions on Circuits and Systems Part I: Regular Papers
Adaptive statistic tracking control based on two-step neural networks with time delays
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
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In this letter, we address the problem of online identification of nonlinear continuous-time systems with unknown time delay based on neural networks (NNs). A novel time-delay NN model with learning algorithm is employed to perform simultaneous system identification and time-delay estimation. The proposed network is an extended version of the time-delay-free dynamical NN. Rigorous stability proof for the identification error is given by means of Lyapunov theory. The simulation studies are provided to demonstrate the performance of the identification algorithm and clarify the theoretical implications.