Abstract: In complex real-world environments, unmanned systems often struggle to achieve coordinated control through independent autonomous algorithms and traditional manual operations. Human-machine ...

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 ...

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, ...