Kernel-based LMI reformulation of the HJB inequality with Riccati-Hessian equality constraint yields convex SDP approximations to nonlinear optimal control value functions with suboptimality bounds.
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Kernel-Based LMI Approaches to Solving the Hamilton-Jacobi-Bellman Equation and Nonlinear Optimal Control
Kernel-based LMI reformulation of the HJB inequality with Riccati-Hessian equality constraint yields convex SDP approximations to nonlinear optimal control value functions with suboptimality bounds.