片语

predictive functional control pfc预测函数控制

Predictive Powertrain Control控制

Predictive Power Control预测功率控制

Adaptive Predictive Inverse Control预测逆控制

predictive corrective control预估校正

Predictive Optimal Control预测最优控制

Model Predictive Heuristic Control的模型预测启发控制

predictive pi control预测pi控制

英汉例句

• For the uncertain nonlinear system, the multiple-model predictive control is studied which combines the switching method for the nonlinearity and the one for the model uncertainty.

  提出了不确定非线性系统多模型预测控制的新方法，它结合了针对非线性的基于系统输出的切换方法和针对不确定性的模型切换方法。

• The study of nonlinear predictive control based on artificial neural networks is carried out.

  研究了基于人工神经元网络模型的非线性预测控制。

• Finally, the algorithm of predictive control based on state space is studied by introducing the generalized predictive control into the research of anti-pitching for ship.

  最后，将广义预测控制引入到舵减纵摇的研究中，探讨了基于状态空间的广义预测控制算法。

• A nonlinear predictive control algorithm to control tower's temperature of the device is first proposed.

  本文首先提出了一种非线性预测控制算法用于控制蒸馏塔温度。

• The possibility of the combination of predictive control and fuzzy control is discussed.

  探讨了预测控制与模糊控制这两种方法结合的可能性。

• The adaptive predictive control is applied to the control of the Pulp Concentration. The predictive model used for the control is updated on the basis of the dynamic process.

  本文将预测控制算法应用到纸浆浓度控制，该预测模型能够根据系统动态特性实行在线更新。

• It shows that the algorithm of global predictive control with self-adaptive can better control the output of the speed of the gas turbine of the nuclear power plant and get the better control effect.

  表明所采用的广义预测自校正控制算法能够较好的控制核动力蒸汽轮机转速的输出，可以获得较好的控制效果。

• The simulative results show that the control performance of the model predictive control system is superior to that of the traditional cascade control system.

  仿真结果表明，较之传统的过热汽温串级调节系统，采用该模型预测控制策略的过热汽温控制系统的控制性能有很大的提高。

• In this paper, a predictive control strategy based on neuro-fuzzy model is applied to Continuous Stirred Tank Reactor (CSTR) process, which has characteristic of highly nonlinearity.

  针对具有高度非线性特性的连续搅拌反应釜(CSTR)控制过程，研究了基于神经模糊模型的预测控制策略。

• In this paper, by utilizing the conventional PID controller and predictive control theory, the method is proposed under the PID-type predictive cost function.

  本文以传统PID控制器为基础，结合神经网络与预测控制，针对非线性系统提出了在PI D型预测性能指标函数下的控制方法。

• The simple criteria of robust stability for single prediction of predictive control system are proposed. The criteria are of clear concept and practical in control engineering.

  提出了一种单入单出系统预测控制鲁棒稳定性判据工程概念清晰，简单实用。

• The emulation result expressed the algorithm of global predictive control with self-adaptive had better ability for the output of power control of nuclear reactor, and got the better control effect.

  仿真结果表明所采用的广义预测自校正控制算法能够较好地控制反应堆功率的输出，取得了较好的控制效果。

• The paper presents an optimal control scheme based on moving optimization principle of model predictive control for linear system with constraints.

  以预测控制的滚动优化原理为基础提出了一种约束线性系统的最优控制方法。

• To handle the unsymmetrical dynamic characteristics of some nonlinear systems in chemical process, a multi-model predictive control method was proposed based on self-tuning model.

  针对化工过程某些非线性系统的不对称动态特性，提出了一种基于自校正模型的多模型预测控制算法。

• The influence of input weighting on evaluation function in digital optimal predictive control is investigated. Its function relation derived has been proven by simulation.

  研究了在数字最优预见控制中，输入权重对评价函数的影响，给出了两者的函数关系，最后进行了仿真验证。

• Finally, the feasibility of model predictive control can forecast reasonable inventory level and control dynamic and uncertainty supply chain system are shown by the simulation results.

  最后，仿真结果表明，模型预测控制技术在预测合理库存水平以及控制动态、不确定的供应链系统是可行的。

• On the basis of manipulators theoretical model of the operating arm, the self-tuning fuzzy controllers model of predictive control will be constructed.

  提出了一种规则自校正模糊控制器 ，并将其用于交流伺服系统的控制中 ，设计了一种在线的模糊推理算法 ，使得模糊控制规则可以得到实时在线的调整 。

• Furthermore, using a state space model based predictive control algorithm, a multi-composition feedback model predictive control strategy is developed.

  并应用基于状态空间模型的模型预测控制算法，推导了间歇精馏塔多个浓度反馈时的模型预测控制策略。

• Two-step model predictive control is applied, which decomposes the MPC problem into a dynamic optimization problem upon linear model and a static rooting problem of nonlinear algebraic equation.

  采用两步法预测控制，即将预测控制问题分解为一基于线性模型的的动态优化问题及一非线性模型的静态求根问题。

• To solve the problem of perturbation of witching multi-model predictive control, weighted multi-model fuzzy predictive control is put forward.

  为了解决切换多模型预测控制的抖动问题，提出了加权多模型模糊预测控制。

• Local dynamic linearization is applied to the system at each sampling point. Then control action is gained using generalized predictive control (GPC) based on the linearized model.

  然后在每一个采样点对系统进行局部动态线性化，根据得到的系统线性化模型对系统采取广义预测控制（GPC）方法得到当前的控制动作。

• The predictive control is utilized to damp the flexible vibrations. The instability of the zero dynamics encountered in the inverse dynamics control and I/O feedback linearization can be avoided.

  该方法采用预测控制消 除柔性机械手的弹性振动，可避免逆动力学和I/O反馈线性化控制遇到的零动力学不稳定问 题。

• Aiming at the strongly coupling nonlinear characteristics of the timber desiccation system, the predictive control method based on wavelet least square support vector machine is proposed.

  针对木材干燥系统强耦合非线性的特性，提出了一种基于小波最小二乘支持向量机的预测控制方法。

• It also put forward to apply the algorithm of global predictive control with self-adaptive in the power control of nuclear reactor, including control structure and the device of controller.

  提出将广义预测自校正控制算法应用于反应堆功率控制中，包括控制结构和控制器设计。

• A multiple model based generalized predictive control is provided for complex nonlinear discrete time system.

  对于复杂的离散时间非线性系统，提出一种基于多模型的广义预测控制方法。