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《Journal of University of Electronic Science and Technology of China》 2004-03
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Strong Consistency Analysis of Steady-State Models for Nonlinear Large-Scale Industrial Processes

Liu Zhigui1,Pu Jie2,Huang Zhengliang (1. School of Computer and Communication Engineering Southwest JiaoTong University Chengdu 610031; 2. Southwest University of Science and Technology Network College Sichuan Mianyang 621002)  
The steady-state optimization problem is optimizing objective functions based on mathematical model under constrained conditions, in fact the large-scale industrial processes are often nonlinear and slowly time varying. In allusion to dynamic nonlinear large-scale industrial processes, to bring up gained the method of decentralized identification for the strong consistency estimates of the divisible steady-state models, it is used that property of polynomial can infinitely approach to the nonlinear function and in optimization processes use step signals as input signals, the divisible steady-state models of dynamic nonlinear large-scale industrial processes, and the cognizable conditions are obtained.
【Fund】: 国家自然科学基金资助项目(69674003)
【CateGory Index】: TP399
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