模糊模型离线辨识方法研究。
无论模糊模型或是经验都是粗糙和不能令人满意的。
But the experience and the fuzzy model is rough and unsatisfying.
过程的模糊模型和逆模糊模型均可由模糊辨识获得。
The fuzzy model and its inverse fuzzy model can be obtained by fuzzy identification.
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.
为此，设计了防抱制动系统的模糊模型参考学习控制器。
To this end, the fuzzy model reference learning control (FMRLC) is presented.
本文建立了一种对流化床中颗粒尺寸进行测量的模糊模型。
A new fuzzy measuring model for the average particle size in fluidized bed is described in this paper.
结构系统可靠性研究分随机模型、模糊模型和非概率模型。
The research of structural reliability includes randomness model, fuzzy model, non-probabilistic model.
研究一类用t - S模糊模型描述的不确定时滞系统问题。
这种模型是一种模糊模型，可以很容易由几条模糊规则得出。
The hyperbolic model can be easily derived from a set of fuzzy rules.
研究方法：文献资料法、模糊模型识别法、定性与定量相结合。
Methods employed include documentation, fuzzy model recognition, integration of qualitative and quantitative technique.
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.
通过讨论认为，采用模糊模型能客观系统全面地反映矿井通风质量的状况。
The author thinks that thestateof mine ventilation quality can be objectively, systematically and completely described by the fuzzy model.
本文提出采用控制论的模糊模型实现对矿井通风质量标准评定的综合评判。
Using the fuzzy model of cybernetics, the author proposes a comprehensive criterion to bring about a standard for evaluation of mine ventilation quality.
在该模糊模型中，因各层的分割数相异，而使得该模糊规则具有不同特性。
In this fuzzy model, the fuzzy rules are generated on every fuzzy division layer with different fuzzy partitions from other layers.
基于模糊模型，关联平衡算法能找到使目标函数更小的解，并且迭代次数更少。
Based on fuzzy model, the interaction balance method can find better solution with fewer iterations.
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。
Based on the nonlinear fuzzy model, an improved method of detecting rotor position for sensorless control of SRMs has been developed.
采用T - S模糊模型描述离散混沌系统，将离散混沌系统模糊化为局部线性模型。
Discrete chaotic system is described based on T-S fuzzy models, and the system is exchanged into local linear model with fuzzy method.
同时，探讨了模糊模型的识别方法，从而实现了对继电器产品及其设计方案的性能评价。
In addition, the method of fuzzy pattern recognition was approached which made the performance evaluation of relay and its design to be realized.
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.
仿真中确定了作战输入诸元以及作战效能输出的类别，给出了空间作战模糊模型的求解实例。
In the emulation, the input element of the operation and the sort of the output operational efficiency are confirmed and examples of space operation fuzzy models are put forward.
另外，再次通过正交最小二乘方法确定模糊模型的结论参数，实现模糊模型结构和参数的优化。
In addition, the conclusion parameters of fuzzy model are confirmed by the orthogonal least square in order to optimize the structure and the parameters of fuzzy model.
并以工业电炉为控制对象，通过在线辨识模糊模型获得模糊控制规则，实现了模糊自适应控制。
Then with an industrial furnace as controlled object, fuzzy control rule is obtained and fuzzy self adaptive control is realized by on line identifying fuzzy model.
该模型采用基于神经网路理论的模糊模型参数辨识方法，很适合于复杂系统的模糊预测和控制。
The model is suitable for fuzzy prediction and control of complex system because the recognition method of fuzzy module parameters based on the theory of neural network is adopted.
将一种多目标系统的模糊模型用于地基强夯参数的优选，使这种定性的问题得到了定量化的处理。
The fuzzy model of multi-objective system is applied to optimal selection of dynamic compaction parameters so as to realize quantization of qualitative problem.
针对强非线性、多变量耦合系统，提出了一种基于动态t - S模糊模型的约束内模控制策略。
Aiming at the strong nonlinear multiple variable coupling system, a new multivariable internal model control based on T-S fuzzy model was proposed.
通过改进模糊聚类方法确定模糊模型的前件结构，并对模糊推理关系矩阵进行正交最小二乘估计。
The premise structure of fuzzy model is confirmed by the improved fuzzy clustering, and fuzzy relation matrix of fuzzy model is confirmed by orthogonal least square.
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
建立了被控对象的模糊模型，在模糊模型的基础上，完成了模糊控制器的设计、模糊控制规则的建立。
On Basis of on fuzzy model that has been set up, the design of fuzzy controller and the rule of control have been finished.
基于模糊模型进行在线短期预报测量参数的变化趋势，解决了系统的短期运行状态分析和准确报警问题。
Based on this model, parameter variety trend is forecasted on-line for a short-term, and the system short-term running condition analysis with accurate alarm is resolved.
基于模糊模型进行在线短期预报测量参数的变化趋势，解决了系统的短期运行状态分析和准确报警问题。
Based on this model, parameter variety trend is forecasted on-line for a short-term, and the system short-term running condition analysis with accurate alarm is resolved.
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