Using the step response behavior of inertia process and the superposition theorem of linear system, this paper puts forward a fuzzy predictive model of dead-time processes.
利用惯性过程的阶跃响应特性和线性系统中的叠加原理，提出了纯滞后过程的模糊预估模型。
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.
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。
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 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。
The predictive error and its rate of change of the gray predictive model are taken to the fuzzy controller as two input variables.
模糊控制器的两个输入变量为设定值，与灰色预测模型的输出值之间比较得到预测误差及其预测误差的变化率。
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。
Fuzzy controller based on T-S model and generalized predictive controller are adopt.
控制采用基于T - S模型的模糊控制器和广义预测控制器。
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。
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。
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, 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。
Simulation results show the superiority of the proposed method over the conventional fuzzy controller and the grey model predictive fuzzy controller with fix predictive step size.
通过仿真研究验证了该方法能明显地改善常规模糊控制和固定预测步长的灰色预测模糊控制效果。
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 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。
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。
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。
This paper presents a predictive coding model based on adaptive neuro-fuzzy inference system (ANFIS).
提出了一种利用神经模糊推理系统（ANFIS）构建预测器的图像压缩预测编码算法。
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 。
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 。
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