经过在炼油厂的实际在线运行，表明该模型具有令人满意的精度，可用于稳定塔汽油蒸气压的闭环控制与优化操作。
The on-line application in Fujian Refinery shows that the model has a satisfactory accuracy, and it can be used for closed-loop control and optimal operation.
仿真结果表明，经过遗传算法优化的PID控制器具有较高的精度和较强的适应性，能获得满意的控制效果。
The result showed that the PID controller optimized by genetic algorithms had higher accuracy and stronger adaptability and it can get satisfying control effect.
利用线性矩阵不等式理论，给出设计满意控制器及优化采样周期的方法。
With the LMI technique, a method is proposed to design satisfactory controller and optimize the sample period.
对于此类受限控制问题，模型预测控制可以取得满意效果，但在线优化的复杂性又阻碍了算法在实际中的推广。
Model predictive control can solve such problems, but the complexity of the online optimization makes it difficult to implement.
本文介绍了遗传算法在辐照控制模型参数求解中的应用，使辐照控制系统不断优化，取得了比较满意的结果。
This paper introduces the application of genetic arithmetic in parameters solution of irradiation control model, which causes constant optimum of irradiation control system and a satisfactory result.
该方法克服了基本蚁群算法的不足，能够满意地实现PID控制参数优化。
This method not only overcomes the shortage of basic ant colony algorithm, but also perfectly realizes the optimization of PID control parameter.
本文利用自调整模糊控制器对比例因子和量化因子进行了优化，取得了满意的效果。
The effects of quantitative factor and proportionality factor on the performance of a system with fuzzy controller are discussed.
六西格玛质量管理是现代企业进行质量控制和工艺优化最强有力的方法，是企业增加客户满意度并获得持续改进的系统工具。
Six Sigma is the most cogent method for modern enterprises to control quality and optimizing process, it is also a systematical tool to satisfy customers and to achieve persistent improvement.
六西格玛质量管理是现代企业进行质量控制和工艺优化最强有力的方法，是企业增加客户满意度并获得持续改进的系统工具。
Six Sigma is the most cogent method for modern enterprises to control quality and optimizing process, it is also a systematical tool to satisfy customers and to achieve persistent improvement.
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