• The application of multiple models predictive function control in continuous fermentation processes and drying fluid-bed is studied.

    研究了多模型预测函数控制在连续生化过程和流化床热风温度控制中的应用。

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  • Then the new predictive function control on the basis of fuzzy compensation is applied to the combustion systems of an industrial boiler.

    并将基于模糊补偿的新型预测函数控制应用于锅炉燃烧控制系统。

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  • A solution as compensating the controlled quantity by fuzzy inference is put forward in this paper to the problem of model mismatch caused by the predictive function control.

    针对预测函数控制中模型失配的影响,提出了用模糊推理对控制量进行补偿的新型预测函数控制。

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  • In this paper, we introduce a method of compensating for the controlled quantity with fuzzy inference to solve the problem of model mismatch caused by the predictive function control for.

    针对预测函数控制中模型失配的影响的情况,提出了用模糊推理对控制量进行补偿的解决方案。

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  • The model of the nonlinear system is obtained by LS-SVM, the offline model is linearize at each sampling instant and uses linear predictive function control methods to obtain the control law.

    该算法采用LS-SVM回归建立非线性系统的预测模型,然后,将离线模型在每个采样周期关于当前采样点进行线性化,同时利用线性预测函数控制方法求解解析的控制律。

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  • In this paper, DMC algorithm in predictive control is realized with function blocks INFI -90, instead of the conventional advanced languages.

    本文应用INFI - 90分散控制系统的功能模块代替常规的高级语言,实现预测控制中的DMC算法。

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  • WNN controller with the idea of neural networks inverse control is applied. Using multi-step predictive index function to train the weights of controller.

    采用神经网络逆控制的思想设计小波神经网络控制器,引入多步预测性能指标函数对控制器权值进行在线训练。

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  • Based on the traditional control on PWM rectifier, space vector PWM predictive current controller is presented using the switching function model.

    在传统的PWM整流控制的基础上,论文利用开关函数建模法,提出了基于预测电流的PWM电压空间矢量控制方法。

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  • 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。

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  • In this paper, a one-step ahead predictive control algorithm based on Radial base Function (RBF) neural networks is proposed, which needs only one neural network.

    提出一种基于径向基函数(RBF)神经网络的一步超前预测控制算法。

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  • 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。

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  • In Stochastic Model Predictive Control, chance constraints are presented and the objective function is an mathematical expectation.

    在随机预测控制中,约束是机会约束,目标函数是数学期望,滚动优化求解的是随机优化问题。

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  • The advanced model predictive control algorithm, which of the function of feedforward, is introduced. The sensitive plate temperature of distillation column is controlled through this algorithm.

    介绍带有前馈的模型预测控制算法,并对精馏塔的灵敏板温度进行控制。

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  • The advanced model predictive control algorithm, which of the function of feedforward, is introduced. The sensitive plate temperature of distillation column is controlled through this algorithm.

    介绍带有前馈的模型预测控制算法,并对精馏塔的灵敏板温度进行控制。

    youdao

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