Combination of steadystateoptimization with dynamic state optimization was presented to optimize ethylene epoxidation reactor.
提出了乙烯氧化反应器定态和动态优化相结合的优化策略。
2
The iterative learning control is studied for the procedure of industrial process steadystateoptimization in order to improve the dynamic performance of control systems.
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。
3
Two stage hierarchical optimization control algorithm is adopted for steadystate large sized system with its subsystem performance indices coupling in a certain order.