Aiming at the familiar SISO thermodynamic system, the general structural style for inverse dynamics fuzzy rules model is presented.
针对常见的单输入单输出的热力系统，提出了逆动力学模糊规则模型的一般结构形式。
The paper presents a novel train of thoughts to approach to the inverse model of the MR damper by using the universal approximation of a kind of fuzzy system.
考虑到某些模糊系统的万能逼近能力，本文提出用模糊系统来逼近磁流变阻尼器逆模型的新思路。
Inverse dynamics fuzzy rules model is the mathematical model about object movement disciplinarian which can be used for fuzzy controller design directly.
系统逆动力学模糊规则模型，是一类可以直接用于模糊控制器设计的关于对象运动规律的数学模型。
A direct inverse model controller of fuzzy neural network with changeable structure based on t s inference is presented in this paper and it is used to the motion control of mobile robot.
本文提出一种基于T -S模型的变结构模糊神经网络直接逆模型控制器，并将其应用于移动机器人的运动控制中。
The fuzzy model and its inverse fuzzy model can be obtained by fuzzy identification.
过程的模糊模型和逆模糊模型均可由模糊辨识获得。
Then two different fuzzy systems are designed to approximate the direct model and the inverse one on the basis of adaptive neuro-fuzzy inference system(ANFIS).
根据自适应神经模糊推理系统原理，设计两个模糊系统分别逼近磁流变阻尼器的正模型和逆模型。
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。
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。
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