Improved neural solution for the Lyapunov matrix equation based on gradient search
An improved GNN models is exploited for the Lyapunov matrix equation. Lyapunov equation can be decomposed into sub-equations solved by the presented GNN. An illustrative example is presented to verify the improved GNN.
gradient search analysis of algorithms recurrent neural networks hierarchical identification principle energy function activation function