Applying fuzzy predictive control to the speed of rotary traveling wave type of ultrasonic motor was researched.
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。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
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 fuzzy predictive control algorithm was proposed for closed loop automatic control of stove temperature of injection mould.
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。
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。
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.
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。
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.
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。
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.
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。
Meanwhile, fuzzy model and predictive control have their respective advantages in the problems above.
而模糊模型、预测控制在这些问题上具有各自的优势。
Robust model predictive control is proposed for a class of nonlinear systems with constraint inputs based on fuzzy T-S model.
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。
A robust model predictive control (MPC) scheme based on fuzzy modelling is proposed for a nonlinear system.
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 nonlinear model predictive control (NMPC) strategy based on T_S fuzzy model is proposed.
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。
Through predictive output and identification of motor's parameters on line, this fuzzy control method ensured the output to track the reference signals.
使用预测输出，在线辨识电机参数，通过模糊控制器完成对参考信号的跟踪。
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。
It is presented the identity conclusion method of C-R fuzzy model and the nonlinear predictive control of C-R fuzzy model.
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。
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。
This paper presents the principle of a predictive fuzzy logic control system and the design method of it.
本文论述了一种预估模糊逻辑控制系统的工作原理和设计方法。
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。
This paper investigates the use of fuzzy decision making in predictive control.
本文研究了预测控制中的模糊决策问题。
Through modifying the CPN model, a kind of fuzzy multistep predictive control algorithm is proposed in this paper.
本文通过修正CPN模型，提出了一种模糊多步预测控制算法。
According to the feature of the cement kiln, a practical fuzzy-predictive coordinative control algorithm combined the fuzzy control and predictive control is proposed.
从水泥生产线蓖冷机系统的特性出发，提出了单入双出“瘦”系统的模糊预测协调控制方法。
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。
This paper presents a novel and predictive fuzzy model algorithmic control(MAC) scheme which is an integration of fuzzy control and predictive control.
本文将模糊模型算法控制应用于永磁同步电动机位置伺服系统中。
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。
This paper presents a new predictive control method for time-delay systems with long pure time delay, which effectively solved the control problem of them with fuzzy control.
提出了一种大纯滞后系统新预估控制方法，对大纯滞后系统进行了有效的模糊控制。
A nonlinear predictive control algorithm based on fuzzy model was presented for a family of complex systems with severe nonlinearity such as of Proton exchange membrane fuel cell (PEMFC).
针对质子交换膜燃料电池(pemfc)等一类具有严重非线性的复杂被控对象，提出一种基于模糊模型的模糊预测算法，并对PEMFC系统进行建模。
A predictive control method of fuzzy internal model is proposed. It adopts internal model control, fuzzy predictor and fuzzy controller which are combined together to act on the controlled process.
采用内部模型控制、模糊预估器和模糊控制器相结合，对模糊内模预估控制方法进行了研究。
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。
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 。
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.
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.
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。
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