The Establishment And Solution Of Regional Industrial Structure Optimal Control Model

In recent years, the economic structure of our country has confronted baptism of complex environment at home and abroad. Industrial system which is supported by energy intensive and highly polluting trades and low-end manufacturing cannot keep up with the fierce market competition. Transforming the mode of economic development and optimizing the economic structure have got close attention from the government. So it has important theory value and practical significance to study the problem of industrial structure optimization.Input-output model is the foundation of industrial structure optimization model. Whether the input-output model is precise or not can affect results of industrial structure optimization model. This paper establishes a basic input-output optimal control model and sets balance between supply and demand as an objective function. The model is solved according to statistical data of a district and optimal control and optimal trajectory are given. Then on the basis of actual economic state, stochastic variables and fuzzy variables are mined deeply in input-output model. Direct consumption coefficient matrix and invest coefficient matrix are assumed as stochastic matrices. Bounds of control variables are supposed as fuzzy constraints. This uncertain input-output optimal control model is solved combining with statistical data of the district. The results demonstrate that optimization results of uncertain model, that is production value of every industry, can fit social needs preferably.A multi-objective industrial structure optimization model is established. Economic growth, full employment and pollution control are set as objective functions. Input-output constraint, energy consumption and pollutant emission are considered as constraint conditions. The industrial structures from 2010 to 2014 are optimized in the district. The results show that GDP can increase 14.78% in this five years. Energy consumption and pollutant emission of per GDP decrease significantly.An uncertain industrial structure optimal control model is established by adding uncertain input-output constraint into industrial structure optimization model. The results show that GDP can increase 21.08% and energy consumption and pollutant emission of per GDP decrease significantly too. The uncertain model can describe the status of economic development preferably and has a greater practical significance. So the uncertain model can provide support for decision makers in a better way.