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 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。
This paper, based on the theory and method of artificial nerve networks and fuzzy sets, puts forward a classifier model used for diagnosing the quasi-heath state.
利用人工神经网络与模糊集的理论和方法提出了诊断亚健康状态的一种分类器模型。
For the dynamic model of inverted pendulum system, adopted fuzzy control method, the T-S fuzzy controller based on the state feedback was designed.
针对倒立摆系统动态模型，采用模糊控制方法，设计基于状态反馈的T - S型模糊控制器。
The research of structural fuzzy reliability theory is to set up a model for structural fuzzy reliability analysis just considering the defining fuzzy safety state.
结构模糊可靠性理论研究主要是建立仅考虑失效准则模糊性的结构模糊可靠性分析模型。
The stabilization criteria for nonlinear time-delay system described by fuzzy T-S model are proposed on (condition) that the time-delay is precisely available via memory state feedback strategy.
基于记忆型状态反馈策略，首先给出由T - S模糊模型描述的非线性时滞系统在时滞精确已知情况下的鲁棒镇定准则；然后给出非线性时滞系统在时滞未知情况下的鲁棒自适应控制策略。
The paper also found a mul-layer fuzzy evaluation model of contract in order to analyze the contract state rational and identify claim events early.
并建立了合同多层综合模糊评判模型，对合同执行进行定量的评价从而识别索赔事项。
Taking the state of charge (SOC) as fuzzy input and the parameters of the battery module as fuzzy output, the parameters of the model are determined by fuzzy inference.
的状态的充电量(SOC)，以作为模糊输入和模糊输出的参数的电池模块，模型的参数，通过模糊推理确定。
First, based on fuzzy dynamic state space model, the fuzzy controller and observer are designed for the nonlinear discrete systems.
首先，论文完成了一大类非线性离散系统模糊控制器和观测器的设计。
The fuzzy variable structure sliding model control provides rapidity and stability for tracking, while PI control eliminates steady-state vibration and improves steady-state accuracy.
模糊变结构滑模控制提供了跟踪的快速性和稳定性，PI控制则消除稳态抖动，提高了稳态精度。
The model is used to perform the numerical simulation of slope stable state, to acquire the data for adaptive neuro-fuzzy inference system(ANFIS) analysis.
同时基于自适应神经模糊推理系统建立了岩体力学参数与边坡抗滑力和下滑力的映射模型，分析得到抗滑力和下滑力的统计特征。
By means of an identified adaptive neural fuzzy inference system (ANFIS) model of the excess air factor, the simulation of static state air fuel ratio feed-forward control was carried out.
借助于辨识的过量空气系数自适应神经网络模糊推理系统(ANFIS)模型，进行了静态空燃比前馈控制仿真。
By means of an identified adaptive neural fuzzy inference system (ANFIS) model of the excess air factor, the simulation of static state air fuel ratio feed-forward control was carried out.
借助于辨识的过量空气系数自适应神经网络模糊推理系统(ANFIS)模型，进行了静态空燃比前馈控制仿真。
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