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neutralization process meaning in Chinese

中和法

Examples

  1. Neutralization process is a typical nonlinear process with pure time delay . this process ca n ' t be controlled effectively with conventional linear control method
    中和过程是一个典型的非线性、纯时延过程,用常规的线性控制方法不可能对其进行有效控制。
  2. Fuzzy control fit the control of nonlinear , time lag system . it especially fits the control of neutralization process . so fuzzy control is employed in the control system as a feed forward control
    模糊控制完全是在操作人员控制经验的基础上实现对系统的控制,无需建立数学模型,具有较强的鲁棒性,适用于非线性、时变、时滞系统的控制,对中和过程的控制尤其适合。
  3. To nonlinear plants with uncertainties , the model - free control method with two neurons is proposed . applied to a ph neutralization process with heavy nonlinear character , the experiments are made to show the effectivenes and robustness of the proposed method 5
    针对具有严重非线性和不确定性的受控对象,提出了一种双神经元非模型控制方法,并以ph中和过程为背景进行了仿真控制实验,仿真结果验证了该方法的鲁棒性和有效性; 5
  4. The neuron control method with self - tuning gain is proposed for a ph neutralization process . in this control system , the fuzzy t - s model is used to predict the control signal . the neuron controller gain is calculated according to the parameter estimation and experience formulas
    针对具有严重非线性特性的ph中和过程,提出了一种模糊增益自整定神经元控制方法,这种方法采用t - s模糊推理估计下一时刻的控制量,并通过参数估计和经验公式来计算出神经元控制器的增益。
  5. In this paper , the t - s model of ph neutralization process was identified via fuzzy c mean clustering and orthogonal least - squares algorithm ; on the basis of it the generalized predictive controller was designed . the effective performance of the controller was validated by matlab simulation
    论文首先采用模糊c均值算法和正交最小二乘法辨识ph值中和过程的t - s模糊模型,然后以此模型为基础设计广义预测控制器,实现系统的最优控制,最后通过matlab仿真验证了该模糊预测控制器的有效性。
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