Fuzzy system is broadly used in the fields of control, signal process, communication, integrated circuit, Expert system, medical diagnosis and behavior science.
模糊系统广泛应用于控制、信号处理、通信、集成电路、专家系统、医药、行为科学等领域。
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.
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。
The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.
在反馈学习算法的基础上，将模糊逻辑和神经网络自适应控制的结构结合在一起。
In the coding process, scale factor, fuzzy-control rule and Subordination function are integrated to code in order to complete integral optimizing.
编码过程中对比例因子、模糊控制规则和隶属度函数进行了统一编码，实现了多个因数的整体寻优。
The control strategy for developing the intelligent fuzzy integrated PID parameters obviously improves the precision of temperature control.
开发适合真空钎焊炉温度控制特点的智能模糊整定PID参数的控制方案，明显地改善了温度控制的精确性。
To solve the problem, this paper presents an integrated method. Fuzzy PID Controller is used for trajectory control.
利用模糊PID复合控制器实现移动机器人的轨迹控制 ，利用陀螺、磁罗盘、里程计进行多传感器融合定位。
To solve the problem, this paper presents an integrated method. Fuzzy PID Controller is used for trajectory control.
利用模糊PID复合控制器实现移动机器人的轨迹控制 ，利用陀螺、磁罗盘、里程计进行多传感器融合定位。
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