The nonlinear plant is approximated by a Takagi-Sugeno fuzzy linear model using local linearization method.
采用局部线性化方法，用T-S模糊线性模型逼近非线性系统。
2
The method of modeling and designing adaptive inverse controllers is studied, and the structure coupled with Least-Mean-Square (LMS) algorithm for controlling a linearplant is discussed.
首先研究了对象建模和控制器设计的方法，讨论了用LMS算法实现的滤波器结构。
3
The results demonstrate that the system has reached the anticipated design requirements and advanced the automatic control performance of industrial linear low density polyethylene plant.