Neural Network Simulation of Photosynthetic Production

Abstract

A neural network based optimal control synthesis is presented for solving optimal control problems with control and state constraints and discrete time delay. The optimal control problem is transcribed into nonlinear programming problem which is implemented with adaptive critic neural network. The proposed simulation methods is illustrated by the optimal control problem of photosynthetic production described by discrete time delay differential equations. Results show that adaptive critic based systematic approach holds promise for obtaining the optimal control with control and state constraints. © Springer-Verlag Berlin Heidelberg 2013.