Zhao-Xing Han

Physics-informed adjoint neural network for parametric PDE-constrained optimal control problems.

Many engineering applications involve solving parametric optimal control problems governed by partial differential equations (PDEs). Conventional numerical approaches suffer from high computational costs in multi-parameter scenarios, as they require solving the PDE system repeatedly for each parameter configuration, an...