【摘要】 本文给出了一种求解大规模工业过程稳态优化控制的新方法—自适应双迭代算法。该方法利用关联输入、输出反馈信息构造一系列线性模型,使之局部自动跟踪真实系统。该算法事先不需要建立近似模型,且是全局单调收敛的,同时应用条件亦十分简单,适应于非凸问题。最后,数字仿真研究表明了该算法的有效性。更多还原

【Abstract】 In this paper, a self-adaptive double iterative algorithm(SDIA)for steady-state optimizing control of large-scale industrial processes is presented. The SDIA utilizes the interconnection input and output feedback information of real processes to construct a serices of linear models to adaptively follow-up the real processes locally. The SDIA does not need to set up approximation model a priori, and possesses the global convergence. Simulation results show that the new approach in very efficient.更多还原