提出一种基于模糊逻辑系统的援潜救生风险评估方法。
The paper proposes a new risk assessment method for submarine rescue based on the fuzzy -logic system.
三角模、剩余格理论是研究模糊逻辑系统的重要工具。
T-norm and residuated lattice are important tools for researching fuzzy logic system.
当附加的数据收集在一起时，许多模糊逻辑系统能连续地调节不同概率的值。
As additional data are gathered, many fuzzy-logic systems are able to adjust the probability values assigned to different parameters.
将模糊逻辑系统、GA算法与BP算法相结合，形成一种有效网络学习方法。
An effective network learning method is formed by combining GA, BP algorithms with fuzzy logic system.
自适应算法中，不但跟踪误差而且辨识误差都参与模糊逻辑系统中的参数调节。
In the adaptive algorithm, the parameter adjusting laws of the fuzzy logic systems are derived by the tracking error and the identification error.
混合模糊逻辑方法就是利用模糊规则和对象输入输出的观测数据来辨识一个模糊逻辑系统。
Hybrid fuzzy logic method used fuzzy rules and crisp data to identify a fuzzy logic system.
模糊逻辑系统的区域分割学习方法采用规则前件为不对称高斯型隶属度函数的模糊逻辑系统。
Fuzzy rule region-split method adopts the fuzzy system whose antecedents take the asymmetric Gauss function as membership function.
从工业过程实际应用要求出发，研究开发了基于模糊逻辑系统的小脑模型关节控制器神经网络算法。
A new neural algorithm based on fuzzy Cerebella Model Articulation Controller (CMAC) is researched for the application of industry process.
对非线性系统的任意逼近性是模糊逻辑系统能够用来辨识复杂工业过程、给出合理控制的理论依据。
That discretional close in upon nonlinear system is the theoretic gist of fuzzy logic system to identify process of complicated industry and educe reasonable control.
将自适应模糊控制理论引入振动控制工程领域，提出了一种基于模糊逻辑系统的在线自学习控制方法。
In this paper, adaptive fuzzy control theory is led into the research field of vibration control engineering, and an on line self study method based on fuzzy logic system is proposed.
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。
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.
不同于其他动力定位船舶模糊控制器设计，本文采用基于高木—关野模糊逻辑系统的方法设计模糊控制器。
Unlike other traditional design method of ship dynamic positioning fuzzy controller. This paper use Tagaki-Sugeno fuzzy logic system to design the fuzzy controller.
高级的洗衣机能利用模糊逻辑系统来探测和适应洗涤循环中水的运动模式，从而减少耗水量，提高洗涤效率。
Advanced clothes-washing machines, for example, use fuzzy-logic systems to detect and adapt to patterns of water movement during a wash cycle, increasing efficiency and reducing water consumption.
模糊推理是蓬勃发展中的模糊控制技术的数学核心，二型模糊集的模糊推理是研究二型模糊逻辑系统的基础。
Fuzzy reasoning is the mathematical kernel of the flourish development of fuzzy control technology, type-2 fuzzy sets are the research foundation of the type-2 fuzzy logic system.
针对一类非线性离散时间系统，根据模糊逻辑系统的逼近性质，给出了一种自适应模糊逻辑控制器的设计方法。
Based on the approximation capability of fuzzy logic systems, a design method of an adaptive fuzzy logic controller is given for a class of nonlinear discrete time systems.
针对一类复杂非线性系统，把模糊t - S模型和自适应模糊逻辑系统结合起来，提出了一种跟踪控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.
针对一类复杂非线性系统，把模糊t - S模型和自适应模糊逻辑系统结合起来，提出了一种跟踪控制方案。
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.
针对一类复杂非线性系统，把模糊t - S模型和自适应模糊逻辑系统结合起来，提出了一种跟踪控制方案。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex nonlinear systems.
对一般非线性系统，推导了一种综合运用非线性动态逆、自适应模糊逻辑系统和滑动模态控制进行控制律设计的方法。
For general nonlinear system, a control law design method which integrated the nonlinear dynamic inverse theory, adaptive fuzzy system and slide model control is developed.
通过一种新学习算法的导出，并结合模糊逻辑系统中的模糊基函数，给出了一种带有通用规则库的模糊滑模自适应控制器。
Universal optimization for adjustable parameters of fuzzy based function is realized by using GA and finding adjust law of parameters in general designing adaptive controller is replaced.
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这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive 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。
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t - S模型和自适应模糊逻辑系统这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
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这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex 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。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex 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。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.
ANFIS设计方法是一种将模糊逻辑系统(FLS)和人工神经网络系统(ann)相结合，利用两者各自的优点所形成的混合智能系统。
The ANFIS design method is a blend intelligent system which combines the Fuzzy Logic system (FLS) and the Annual Neural Network (ANN) and USES their's strongpoints.
ANFIS设计方法是一种将模糊逻辑系统(FLS)和人工神经网络系统(ann)相结合，利用两者各自的优点所形成的混合智能系统。
The ANFIS design method is a blend intelligent system which combines the Fuzzy Logic system (FLS) and the Annual Neural Network (ANN) and USES their's strongpoints.
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