Based on the approximation property of fuzzy systems, a nonlinear system can be expressed as the form of linear parametric model and a modelling error term.
根据模糊系统的逼近性质，非线性系统可以表示为线性参数化模型加上一建模误差项。
Based on the input-output data of the system, a new method to create fuzzy rules by dividing the input space was proposed and ap plied to modelling of the non-linear drying process.
基于系统的输入-输出数据，提出一种通过划分输入空间提取模糊规则的方法，并将该方法应用于建模非线性程度较高的干燥过程。
A robust model predictive control (MPC) scheme based on fuzzy modelling is proposed for a nonlinear system.
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。
In the system the fuzzy knowledge bases of the object are established by modelling walking device of the robot, and the reasoning engine is designed according to fuzzy-control aim.
在该系统里，通过对机器人的行走装置进行模型化，建立了对象的模糊知识库，并根据自适应模糊控制的目标设计了推理机。
In the system the fuzzy knowledge bases of the object are established by modelling walking device of the robot, and the reasoning engine is designed according to fuzzy-control aim.
在该系统里，通过对机器人的行走装置进行模型化，建立了对象的模糊知识库，并根据自适应模糊控制的目标设计了推理机。
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