The investigating of influence of quality criteria coefficients on global complex models

Abstract

In the paper global modeling of complex systems with regard to quality of local models of simple plants are discussed. Complex systems consist of several sub-systems. As a global model multilayer feedforward neural networks were used. It is desirable to obtain an optimal global model, as well as optimal local models. A synthetic quality index as a sum of a global quality criterion and local quality indexes is defined. By optimization of the synthetic quality index the global model is obtained with regard to the quality of local models of sub-systems. The quality index of the global model contains coefficients which define the participation of the local criteria in the synthetic quality criterion. The investigation of influence of these coefficients on the quality of the global model of the complex static system is discussed. The investigation is examined by a complex system which consists of two nonlinear simple plants. © 2010 Springer-Verlag.