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: In order to enhance the efficiency of dynamics modeling of modular space manipulator, a kind of efficient modeling method based on Space Operator Algebra is proposed in this paper. The ...