摘要
提出了一种基于模式识别的稳态优化控制方法,用模式识别描述系统稳态特性、辨识模型参数、估计非平稳扰动和求取控制作用,为在那些用传统方法建模困难的场合,实现稳态优化控制提供了可能。以甲醛生产过程作仿真研究,获得了满意的结果。
Pattern recognition technique is used to the steady-state model establishing for the systems which are difficult to be modelled by traditional approaches. And then, the model parameters and unstationary disturbances are estimated and an optimal control algorithm is derived. Simulation results for steady-state optimal Control of formaldehyde production process are satisfactory.
基金
国家教委博士点基金
关键词
模式识别
优化控制
甲醛
nonlinear systems
steady-state optimal control
pattern recognition
formaldehyde
