Using Decoupling Methods to Reduce Polynomial NARX Models
Using Decoupling Methods to Reduce Polynomial NARX Models is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include matrix polynomial, Nonlinear autoregressive exogenous model, Decoupling, polynomial, autoregressive model, computer science, physics-informed neural networks, Adaptive filter, algorithm, mathematical optimization, polynomial matrix, utility frequency, nonlinear system, benchmark, applied mathematics, mathematics, and control theory. This approach is demonstrated on two benchmark systems: The Bouc-Wen friction model and the data from the Silverbox model.