Then an ETSK model based fuzzy control algorithm named MBFC (Model Based Fuzzy Control) algorithm is presented.
进而给出一种基于ETSK模型的模糊控制算法（MBFC）。
This paper describes a fuzzy control strategy combining model free and model based fuzzy control to control an acrobot.
提出一种体操机器人模糊控制策略，它结合了无需模型和基于模型的模糊控制。
Multiple PID, Multiple Sliding mode and Multi-model based fuzzy controllers are introduced to solve the speed, depth, pitch and yaw control problem respectively.
以多模型PID、多模型滑模控制和多模型优化的模糊控制算法解决深度、速度、纵倾和航向控制问题。
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。
Based on T-S fuzzy model, the guaranteed cost control problem of a class of uncertain nonlinear systems with input and state time delay is discussed.
针对一类具有输入与状态时滞的参数不确定非线性系统，基于T - S模糊模型，讨论该系统的保性能控制问题。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
Based on the multi constraints fuzzy optimal control model the optimal solution is sought under satisfying constraints.
根据多约束模糊最优控制模型，寻求满足约束前提下的最优解。
Based on T-S fuzzy model, the guaranteed cost control problem on uncertain nonlinear systems with input and state time delay was discussed.
针对一类具有输入与状态时滞的参数不确定非线性系统，基于T - S模糊模型，讨论该系统的保性能控制问题。
Based on fuzzy control theory, the paper analyzed the principle and method to establish fuzzy Controlling model of fiberboard hot pressing machine, and discussed it's application.
基于模糊控制理论，论述了纤维板热压机模糊控制模型的建立原理及其方法，并给出应用实例。
Based on T-S fuzzy model, a fuzzy output feedback guaranteed cost control problem is studied for a class of uncertain discrete-time systems with multiple time delays.
针对一类用t - S模糊模型描述的多时滞离散不确定系统，研究了其输出反馈保性能鲁棒控制问题。
According to the characteristics of PID control and fuzzy control, a driver model of steering direction control for automobiles is established based on the preview optimal curvature model.
在预瞄最优曲率驾驶员模型的基础上，根据PID控制、模糊控制的特性，建立了加速度反馈模糊—PID控制驾驶员模型。
Based on fuzzy tree model, an adaptive fuzzy sliding-mode control strategy with supervisory controller is proposed for a class of nonlinear systems.
本文针对单输入-单输出仿射非线性系统提出了一种基于模糊树模型的具有监督控制器的模糊滑模控制方法。
As an important branch in the field of intelligent control, fuzzy model based robust adaptive sliding-mode control for nonlinear systems has received more and more attention in recent years.
作为现代控制领域中的一个重要分支，基于模糊建模的非线性系统的鲁棒自适应变结构控制技术近年来受到了国内外控制界的广泛重视。
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。
Variable parameter PID control for the controlled object is designed by the method of segment linearization. Furthermore, T-S model based fuzzy PID control strategy is put forward.
通过分析被控对象的特性，采用分段线性化的方法设计变参数PID控制器，进而给出基于T-S模型的模糊PID控制策略；
This dissertation proposes the fuzzy adaptive control scheme based on reference model by the study of the fuzzy control and model reference adaptive control.
本论文对模糊控制和模型参考自适应控制进行了研究，提出了基于模型参考的模糊自适应控制方案。
Considering the uncertainty of network model and time variability of network parameters, a fuzzy control active queue management algorithm based on input rate and queue variance is proposed.
针对网络模型的不确定性和参数的时变性，该文提出了一种基于输入速率和队列长度变化的模糊控制主动队列管理算法。
This paper presents the cloud model of fuzzy sets, uncertainty reasoning of control rules based on cloud model, and a two-dimension cloud model controller.
本文论述了模糊子集的云模型表示、基于云模型控制规则的不确定性推理，并设计了一种二维云模型控制器。
Also, model of sorting system with this new sorting device is established and intelligent control to the sorting system is realized based on fuzzy logic control.
解决了基于新型分类装置的分拣系统控制模型的建立与实现，运用模糊逻辑控制实现了分拣系统的智能控制。
The application of the control algorithm based on modifying factor fuzzy model to a diesel engine is introduced.
介绍了基于修正因子模糊数模型的模糊控制算法在柴油机调速技术上的应用。
Based on the nonlinear fuzzy model, an improved method of detecting rotor position for sensorless control of SRMs has been developed.
提出了一种基于非线性模糊模型的开关磁阻电机(SRM)转子位置检测的方法。
A rule-based hammerer model was proposed on the basis of fuzzy control theory.
基于模糊控制理论建立了锻工模型；
A multi layer fuzzy CMAC adaptive control method based on an approximate model is presented in this paper for nonlinear discrete time systems.
针对非线性离散时间系统的控制问题，提出了一种基于近似模型的多层模糊CMAC自适应控制方法。
The gray model forecasting theory and fuzzy control technology are introduced, and a new method based on gray model forecasting and fuzzy control of coal-feed in a jig is proposed in the paper.
本文对灰色预测理论及模糊控制技术进行了介绍，并提出了一种对跳汰机给煤量进行灰色预测和模糊控制的新方法。
A new design scheme of adaptive fuzzy controller is proposed based on the model reference adaptive fuzzy control (MRAFC) and Lyapunov s second method.
基于模型参考自适应模糊控制和李亚普诺夫第二方法，提出了一种自适应模糊控制器设计的新方案。
A vector control method of linear induction motor based on fuzzy control was proposed because it was difficult to establish accurate mathematical model of linear induction motor.
直线感应电动机精确的动态数学模型很难建立，提出了一种基于模糊控制的直线感应电动机矢量控制方法。
Combining both kinds of fuzzy logic forms including fuzzy t s model and adaptive fuzzy logic systems, this paper presents an observer based control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊tS模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来，提出了一种基于观测器的控制方案。
This paper presented a parameter identification method based on the structure of human fuzzy control model known, and tried to identificate parameters of the model.
本文根据已知的人的模糊控制模型，提出了一种参数辨识方法，并进行了参数辨识实验。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
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