Abstract: This article proposes a deep Koopman-based identification method for nonlinear dynamical systems with modeling residuals learned recursively by incremental Gaussian process regression (IGPR) ...

Everywhere you look, "food systems transformation" is the new buzzword. From U.N. conferences to corporate boardrooms, the ...

A relatively new feature of generative AI is the ability to invoke nonlinear conversations. It has ups and downs in mental ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Abstract: This paper proposes a robust fault estimation method for nonlinear systems with both actuator and sensor faults. Specifically, a singular system is constructed by combining the state vector ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Nonlinear systems and networks theory is a branch of automatic control theory. It takes systems and networks described by nonlinear differential equations or difference equations as its research ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

This paper aims to provide a rigorous analytical investigation of multisoliton dynamics within a conformable concatenated nonlinear framework that unifies the nonlinear Schrödinger, Sasa Satsuma, and ...

Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K. Sargent Centre for Process Systems Engineering, Imperial College London, London SW7 2AZ, U.K.