Dynamic Neural Units and Genetic Algorithms With Applications to the Control of Unknown Nonlinear Systems

Geneo-tic Algorithms을 이용한 비선형 동적 시스템 제어

"Dynamic Neural Unit"(DNU) based upon the topology of a reverberating circuit in a neuronal pool of the central nervous system. In this thesis, we present a genetic DNU-control scheme for unknown nonlinear systems. Our method is different from those using supervised learning algorithms. such as the back propagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its trainin.