In this paper, a neural network-based optimal control synthesis is presented for distributed problems. We deal with solutions of systems controlled by parabolic differential equations and state constraints discrete time delays. The given problem transformed into nonlinear then implemented feed-forward adaptive critic network. propose new algorithm to reach an trajectory using present concrete a...

in the present study, a heterogeneous and homogeneous gas flow dispersion model for simulation and optimization of a large-scale catalytic slurry reactor for the direct synthesis of dimethyl ether (dme) from synthesis gas (syngas) and co2, using a churn-turbulent regime was developed. in the heterogeneous flow model, the gas phase was distributed into two bubble phases including small and large...