结果表明，文中关于广义稳态优化控制问题的定义是正确的，算法是有效的．。
The conclusion shows that the definition about optimizing control for generalized steady state is suitable, and that the algorithm is effective.
对于子系统的性能指标按一定顺序耦合的稳态大系统，采用两级递阶优化控制算法。
Two stage hierarchical optimization control algorithm is adopted for steady state large sized system with its subsystem performance indices coupling in a certain order.
本文将序列模型逼近法推广到稳态大系统的递阶优化与控制中去。
This paper extends the sequence model approximation (SMA) approach to hierachical control of large-scale steady state systems.
通过优化模糊pi控制器的量化因子和比例因子，从而优化隶属函数，使控制系统具有很好的稳态和动态性能。
Though optimizing quantification factor and proportionality factor of Fuzzy-PI controller, optimizing the membership function, then make the system response has good dynamic and steady performance.
既根据稳态调节精度的要求设定电压反馈系数，又实现了多变量协调优化控制。
It sets the voltage feedback parameter directly according to the regulation precision for steady state while realizes the multi-variable coordinated optimization control.
针对模糊控制稳态精度较差的问题，提出了“双模”模糊控制器，通过调整因子来优化控制规则。
The dual mode ambiguity controller, which optimizes the controll rule by adjusting factors, works out the solution to the problem of poor stable precision of ambiguity controlling.
稳态控制采用三层控制方式，将控制分为模糊回路控制层、解耦系数控制层和目标优化控制层。
The steady state control adopts three-level control mode, including fuzzy control, decoupled coefficient control and target optimization control.
针对具有噪声的工业过程稳态优化进程，提出迭代学习控制以期改善控制系统的动态品质。
The iterative learning control is studied for the procedure of industrial process steady state optimization in order to improve the dynamic performance of control systems.
本文采用价格法原理，将稳态大系统进行分解协调并在多微机系统上实现递阶优化控制。
By using the principle of the price method, steady-state large-scale systems are decomposed and coordinated, and hierarchical optimisation control is carried out in a multi-microprocessor system.
本文采用价格法原理，将稳态大系统进行分解协调并在多微机系统上实现递阶优化控制。
By using the principle of the price method, steady-state large-scale systems are decomposed and coordinated, and hierarchical optimisation control is carried out in a multi-microprocessor system.
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