Neural networks for constrained optimal control of nonlinear systems

A neural network control procedure is presented which performs discrete-time constrained optimal control of nonlinear systems. Different neural network structures are tested, and also different control error functions are used as network training error. Comparisons of the results are made for different structures and errors of the control network.