Performance analysis of novel adaptive model for non-linear dynamics system identification

摘要: Tasks of system identification has occupied an important space in research field for development automated system. Artificial neural network (ANN) model is most suitable analysis dynamic systems. It been exploited this work as alternative approach such task. The objective paper to design a novel technique improve the performance existing techniques. Adaptive learning algorithm applied with sliding mode strategy neuron models. considered first-order adjustable parameters. can perform faster convergence robust characteristics. chosen nonlinear it good function approximation capabilities. shown that proposed ANN be used complex Also done using different methods like Sliding Mode strategy, MLP-Back propagation, FLANN-LMS and compared identification.