Riza Berkan is a nuclear scientist with a specialization in artificial intelligence, fuzzy logic, and information systems.
RizaBerkan是一名原子能科学家，主攻人工智能、模糊逻辑和信息系统。
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。
To realize accurate control of hydra matic bend systems for four-high cold mill, this paper presents a fuzzy logic controller.
为实现四辊冷轧机液压弯辊系统的精确控制，设计应用了一种模糊逻辑控制器。
In the adaptive algorithm, the parameter adjusting laws of the fuzzy logic systems are derived by the tracking error and the identification error.
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。
A scheme of fuzzy logic based the continuous sliding mode control for a class of nonlinear systems in the presence of uncertainties was developed.
对一类不确定非线性系统，提出了一种基于模糊逻辑的连续滑模变结构设计方法。
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。
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。
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。
Now, studies about fuzzy logic, quantum logic and the corresponding algebra systems are very active in non-classical logic.
模糊逻辑与量子逻辑以及它们相应的代数系统是目前非经典逻辑体系中非常活跃的研究分支。
Fuzzy Logic is a powerful processing methodology that easily accommodates imprecise input data and system nonlinearities for rapid development of robust control systems.
模糊逻辑是处理非精确输入与系统非线性的强有力处理方法，便于迅速开发鲁棒性控制系统。
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.
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。
As additional data are gathered, many fuzzy-logic systems are able to adjust the probability values assigned to different parameters.
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。
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。
Based on fuzzy logic approximation principle, a new fuzzy decentralized controller is designed for a class of nonlinear interconnected systems with unknown dynamics.
基于模糊逻辑的近似原则，一种新的模糊分散控制器的设计一类非线性互联系统的未知因素。
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.
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。
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.
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。
In this paper, a fuzzy logic control based on genetic algorithms for complex nonlinear vibration systems of multiple degree of freedom is proposed.
本文对于复杂的多自由度非线性振动系统提出了基于遗传算法的主动模糊控制方法。
A new PID intelligent controller is proposed, combined with fuzzy logic controls and genetic algorithms, for AGC of interconnected power systems.
针对互联电力系统自动发电控制(agc)，结合模糊控制和遗传算法提出一种新型的PID智能控制器。
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。
Having applied hierarchical fuzzy systems in the control architecture, the number of rules in a fuzzy logic controller is reduced greatly, thus the control instantaneity can be improved.
由于控制结构中使用了分层模糊系统，因而极大地减少了模糊规则数目，提高了控制的实时性。
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。
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