Abstract: Dynamic game arises as a powerful paradigm for multi-robot planning, for which safety constraint satisfaction is crucial. Constrained stochastic games are of particular interest, as ...

These traditional controllers encompass full-state feedback control designed through linear quadratic programming (LQR) and feedforward control that takes road curvature into account. State variables ...

Most cases include plots of the attractor and calculations of the spectra of Lyapunov exponents. Some important cases include graphs showing the route to chaos. The book includes many cases not ...

3. Graph Neural Networks GNNs have a broad range of uses in various domains due to the prevalence of graph-structured data, where the lack of an Euclidean structure makes it challenging to use DNNs in ...