A machine learning framework, equipped with a unitary Koopman structure, is designed to reconstruct Hamiltonian systems using either noise-perturbed or partially observational data. This framework can ...
Model Reference Adaptive Control Method for Dielectric Elastomer Material-Based Intelligent Actuator
Abstract: This article presents a model reference adaptive control method (MRACM) for the high-precision tracking control of a dielectric elastomer material-based intelligent actuator (DEMIA). First, ...
Abstract: In this letter, a general robust reference path selection method (RPSM) that can be integrated into current existing motion planning algorithms is proposed to improve the mobile performance ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback