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Abstract: This paper proposes a novel event-triggered adaptive neural control scheme for pure-feedback stochastic nonlinear systems subject to input saturation and partial state constraints. By ...

Abstract: This article presents a predictive control strategy for Euler-Lagrange systems (ELSs) with piece-wise input constraints, includes saturation and dead-zone, by employing fully-actuated system ...

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 ...