利用模糊预测控制对旋转型行波超声电机的速度控制进行了研究。
Applying fuzzy predictive control to the speed of rotary traveling wave type of ultrasonic motor was researched.
针对注塑机炉温的闭环自动控制实现问题，提出了一种模糊预测控制算法。
A fuzzy predictive control algorithm was proposed for closed loop automatic control of stove temperature of injection mould.
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。
To solve the problem of perturbation of witching multi-model predictive control, weighted multi-model fuzzy predictive control is put forward.
试验结果表明，模糊预测控制有效地提高了系统控制精度及设备的可靠性和稳定性。
Test results showed that the fuzzy prediction control improves greatly the accuracy of the control system and the working reliability and stability of the asphalt concrete mixer.
本文使用有序神经网络和改进的模糊控制器构成了一种新型的神经模糊预测控制方法。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
提出支持向量机-模糊预测控制方法，介绍支持向量机在列车启动控制过程中的应用。
It is proposed a fuzzy forecast control method based on support vector machine. The applications of the machine to the train start-up control are given.
一类未知非线性离散系统的直接自适应模糊预测控制方法，通过引入自适应模糊逻辑系统预测控制策略。
A direct adaptive fuzzy predictive control method for a class of unknown nonlinear discrete systems is presented by introducing adaptive fuzzy logic system into the predictive control strategy.
将模糊预测控制应用于列车自动驾驶系统，既充实了模糊预测控制理论，又为实现列车运行过程的高品质控制提供了一种新方法。
The application of fuzzy prediction control to ATO system not only enriches the theory of fuzzy prediction control, but also offers a new method for train operation with high quality.
该模糊预测控制系统采用了带参数自整定的模糊-积分复合控制算法，详细给出了离线部分的设计过程，并提出了可用于工程实现的参数自整定算法。
The Fuzzy-predictive control system uses the Fuzzy-PI control algorithm of parameter self-adjusting and the design process of off-line key part of fuzzy controller in this system is given in detail.
简单介绍了模糊预测控制系统的原理，详细介绍了如何建立基于模糊关系的模糊预测控制系统中的预测模型以及如何实现模糊预测控制的模糊预测模型。
The mechanism of the fuzzy predictive control is introduced briefly and how to established fuzzy predictive model base on the fuzzy relation and how to realize the model are introduced in details.
由于T_S模糊模型每条规则的结论部分是一个线性模型，因此整个模糊模型可以看作一个线性时变系统，从而将模糊预测控制器中的非线性优化问题转化为一个线性二次寻优问题，以方便求解。
Since the conclusion part is linear, the T_S fuzzy model can be treated as a linear time_varying system, the nonlinear program in NMPC turns into a linear quadratic problem that can be easily solved.
而模糊模型、预测控制在这些问题上具有各自的优势。
Meanwhile, fuzzy model and predictive control have their respective advantages in the problems above.
针对一类基于模糊T-S模型的输入受限非线性系统提出了鲁棒模型预测控制。
Robust model predictive control is proposed for a class of nonlinear systems with constraint inputs based on fuzzy T-S model.
针对离散不确定模糊模型，提出了一种鲁棒非线性模型预测控制方法。
A robust model predictive control (MPC) scheme based on fuzzy modelling is proposed for a nonlinear system.
提出了一种新的基于T_S模糊模型的非线性预测控制策略。
A nonlinear model predictive control (NMPC) strategy based on T_S fuzzy model is proposed.
分析了循环流化床锅炉结构与工艺特点，结合循环流化床锅炉动态数学模型，提出采用模糊控制和广义预测控制相结合的新控制思路。
The dynamic properties of the circulating fluidized bed boiler were analyzed to develop a new control system based on fuzzy control theory and generalized forecast control theory.
本文研究了预测控制中的模糊决策问题。
This paper investigates the use of fuzzy decision making in predictive control.
本文通过修正CPN模型，提出了一种模糊多步预测控制算法。
Through modifying the CPN model, a kind of fuzzy multistep predictive control algorithm is proposed in this paper.
结合循环流化床锅炉动态数学模型，提出采用模糊控制和广义预测控制相结合的新控制思路。
The dynamic properties of the circulating fluidized bed boiler were analyzed to develop a new control system based on fuzzy control theory and generalize fore cast control theory.
如果判断出系统存在混沌现象，则设计模糊神经网络预测控制器，实现了对电力系统混沌振荡的预测控制。
If there is chaos oscillation in the power systems, a fuzzy-neural forecast controller is designed and forecast control is realized to the chaos oscillation.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
在此基础上，又设计了模糊神经网络预测控制器，实现了对非线性、大时滞系统高精度的自适应控制。
On the basis of this, a fuzzy-neural forecast controller is designed and robust adaptive control to the nonlinear big-lagged chaos system is realized.
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, a predictive control strategy based on neuro-fuzzy model is applied to Continuous Stirred Tank Reactor (CSTR) process, which has characteristic of highly nonlinearity.
提出了C -R模糊模型的辩识递推算法和C - R模糊模型的非线性预测控制算法。
It is presented the identity conclusion method of C-R fuzzy model and the nonlinear predictive control of C-R fuzzy model.
控制采用基于T - S模型的模糊控制器和广义预测控制器。
Fuzzy controller based on T-S model and generalized predictive controller are adopt.
探讨了预测控制与模糊控制这两种方法结合的可能性。
The possibility of the combination of predictive control and fuzzy control is discussed.
该算法将预测控制与多模型思想结合，通过模糊自适应加权算法计算权重，采用动态矩阵控制优化控制器参数。
The weights are calculated by fuzzy adaptive weight algorithm and the controllers are optimized by dynamic matrix control algorithm.
文中依据非线性舰船模型，应用模糊神经网络简化出适应于舵减横摇控制器设计的模糊线性模型，并设计了广义预测控制器。
According to the nonlinear model of ship, a predigested fuzzy linear model is built adapted to rudder roll stabilization using fuzzy neural networks.
这是因为在相关实验中的控制器算法设计在基本原理上具有一致性。所应用的控制算法包括PID、模糊、DMC预测控制以及对象过程特性的继电反馈辨识。
In succession, the paper introduces the control algorithms used in experiment, which include PID control, fuzzy logic control, DMC predictive control and relay feedback identification.
这是因为在相关实验中的控制器算法设计在基本原理上具有一致性。所应用的控制算法包括PID、模糊、DMC预测控制以及对象过程特性的继电反馈辨识。
In succession, the paper introduces the control algorithms used in experiment, which include PID control, fuzzy logic control, DMC predictive control and relay feedback identification.
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