IEEE

An Approach for Robust Controller Design Based on a Remodeled Uncertain TS Fuzzy Model With Non-Parallel Distributed Compensation and a Fuzzy Lyapunov Function

Abstract: This study provides a modeling framework for representing uncertain nonlinear systems using a remodeled uncertain Takagi–Sugeno (TS) fuzzy model. The stability of the uncertain TS fuzzy ...
IEEE

Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification

Abstract: Deep learning methods contain powerful tools for modelling nonlinear dynamic systems. However, whilst these models are useful for predicting outputs, they tend to be described by complicated ...