介绍并分析了多变量预测函数控制的基本原理和特点。
The basic theory and properties of multivariable predictive functional control is introduced and analyzed.
而预测函数控制是预测控制领域中较新的研究方向之一。
Predictive Functional Control is one of the most novel direction in this area.
本文主要从理论和应用两方面对预测函数控制方法进行了研究。
The theories and applications of PFC are studied in this dissertation.
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。
Then the new predictive function control on the basis of fuzzy compensation is applied to the combustion systems of an industrial boiler.
而预测函数控制(PFC)是预测控制领域中较新的研究方向之一。
Predictive Functional Control (PFC) is one of the most novel direction in this area.
分析了预测函数控制在具有参数饱和限制环节的伺服系统中的实施算法。
The paper analyses the implemented algorithm of the predictive functional control in servo system with tache of restrictive saturated parameters.
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。
The application of multiple models predictive function control in continuous fermentation processes and drying fluid-bed is studied.
基于差分方程模型推导了多变量预测函数控制算法，使其具有更加广泛的适用性。
Multivariable predictive functional control based on difference equation, which has more general applicability, is presented.
在模糊预测函数控制的基础上，建立了一种新型算法来预测高炉铁水硅质量分数。
On this basis, the temperature control system for this type stack is designed, and the fuzzy-PID fusion control algorithm is used.
利用支持向量回归的方法对非线性过程进行建模，采用预测函数控制方法进行控制。
The support vector regression method is used for modeling the nonlinear process, and the predictive functional control method is used to control.
在控制算法方面，为了减少计算量，对具有较少计算量的预测函数控制进行了研究。
The predictive model is obtained by weighting the sub-models with the recursive Bayesian scheme. Simulation results demonstrate the efficiency of the method.
首先介绍并分析了预测函数控制方法的主要思想和特点，讨论了相应的控制器参数设计方法。
The Predictive Functional Control(PFC) Technology is introduced in this paper, the properties and controller parameters of PFC is discussed.
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。
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，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。
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.
提出了一种新的多变量系统预测函数控制算法，该方法可以适用于具有时滞和外部干扰的多变量系统。
A new multivariable predictive functional control algorithm is presented. The obtained MPFC algorithm can be applied to multivariable system with time-delay and disturbance.
针对典型化工非线性对象连续搅拌槽反应器（CSTR） ，研究了基于反馈线性化的预测函数控制方法。
The strategy based global feedback linearization for nonlinear system is developed for continuous stirred tank reactor (CSTR).
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
本文结合预测函数控制(pfc)理论，针对平整机控制系统的特点，设计了PFC—PID串级延伸率控制系统。
According to theories of predictive functional control (PFC) and the characters of cold rolling temper mill, PFC-PID cascade elongation control system is designed.
并将基于模糊补偿的预测函数控制应用于锅炉燃烧控制系统，通过连续系统仿真，结果表明这种控制器具有较强的鲁棒性。
Then we apply this kind of predictive function to the combustion systems of industrial boiler, through simulation of continuous system, we can conclude that this controller has strong robustness.
为了提高交流伺服系统的跟踪性能，将预测函数控制(pfc)和PID控制相结合，提出了一种PF C - PID串级控制策略。
To improve the tracking performance of ac servo-system, PFC-PID cascade control strategy is presented by combining the PFC with PID control.
详细分析了预测函数控制在具有参数饱和限制环节和滞后的机电伺服系统中的实施算法，分析了系统的闭环性能，并得到了其稳定鲁棒性条件。
The paper analyses the implementary arithmetic in the servo system with saturation and lag segment, and analyses the performance of the close loop to obtain the condition of stability and robustness.
从预测模型、反馈校正和优化控制三方面对预测函数控制基本原理进行了系统的阐述并针对一阶加纯滞后对象推导了单变量预测函数控制的基本算法。
The principle of PFC is introduced from three aspects: predictive model, error compensation and optimal algorithm. The basic PFC algorithm for first-order plus time delay system is developed.
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。
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。
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.
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