Yaguang Wang

TL;DR: In this article, a method to control chaotic behavior of a typical Smart Grid based on generalized fuzzy hyperbolic model (GFHM) is presented, which is designed by solving a linear matrix inequality (LMI).

TL;DR: In this paper , a novel gradient-free optimization method is proposed by integrating the material-field series expansion topological parameterization and the deep neural networks, providing twofold advances: first, it generally reduces the massive topological design variables to fewer than 200, while keeping the capability to represent relative complex 3D topologies and clear boundaries; secondly, by constructing a sequential neural network surrogate model, it sufficiently explores the reduced design space and is capable of handling multi-peak and discontinuous optimization problems.

TL;DR: In this paper , a velocity field level set method for topology optimization of the piezoelectric layer on a plate with active vibration control is presented. But the authors do not consider the effect of the external frequency and the constant gain velocity feedback on the results.

TL;DR: In this paper , the authors proposed a systematic topology optimization method of multi-material acoustic metamaterial to open single and multiple low-frequency bandgaps, which greatly reduces the design variables for the topological description of the microstructure, enabling the problem to be solved using nongradient optimization algorithms.

TL;DR: In this paper , a concurrent multiscale topology optimization (TO) framework is presented to maximize the fundamental eigenfrequency of structures with a uniform outer coating and layer-wise graded lattice infill microstructures.