Combination of steady state optimization 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。
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.
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。
By establishing a novel method for integrating transient stability constraints into conventional steady-state ATC, the dynamic ATC problem is successfully formulated as an optimization problem.
建立了在传统的静态AT C模型中加入暂态稳定约束的有效方法，并在此基础上给出了动态atc问题的优化计算模型。
Through the optimization algorithm, the control system with the LQR controller gets very well dynamic and steady state decoupling performance.
通过优化算法，设计出的LQR控制器取得了良好的动、静态解耦效果。
Through the optimization algorithm, the control system with the LQR controller gets very well dynamic and steady state decoupling performance.
通过优化算法，设计出的LQR控制器取得了良好的动、静态解耦效果。
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