Intelligent Control and Optimal Operation of Complex Electric Power Systems Using Hierarchical Neural Networks

The derivation of a mathematical model from physical laws according to the use of the model (e.g., for control), is most basic here to determine the mathematical structure. For example, it is shown (Laszlo, 1972) that a close connection exists between dynamic identification of an environment and its control. System identification itself is a well developed area of system theory. The need of mathematical representations in many aspects of the real world dictates the importance of system identification. In a way, it may be said that identification is a link between the mathematical-model world and the real world. abStract