Application of neural network to hierarchical optimal control of the class of continuous time-varying large-scale systems

In this paper, we give a new method of applying neural network to the hierarchical control problem of a class of continuous time-varying large-scale systems. we assume that the continuous-time system is linear time-varying, and disturbed by additive white noises, and the state informations at the sampling instants incomplete, and the continuous-time criteria are quadratic. A two-level connectional network of novel architecture is designed for the optimal control problem of large-scale systems. Circuits to solve these problems are designed using deneral principle.