英语翻译AbstractThis paper presents aTSK fuzzy controller basedo

英语翻译
Abstract
This paper presents aTSK fuzzy controller based
on a TSK fuzzy model consisting of TSK fuzzy rules
of which consequents are a state equation and have a
constant term．The pole plcaement proposed controller consists of
TSK fuzzy rules and guarantees the stability of the
closed loop system．The pole placement and the
integral control developed for Bnear control systems
are used for the TSK fuzzy controller．The behaviour
of the closed loop system controlled by the suggested
fuzzy controller is the same as the linear system of
which state transition matrix is the desired one．This
paper deals with both the continuous systems and the
discrete systems．
1.Introduetion
where r is the
number of rules and F；(z；)is the
membership value of2i in the fuzzy set F：．A TSK
fuzzy model can be identified using the input-output
data[2]．Therefore if a controller guaranteeing stability
is designed from a TSK fuzzy model of a nonlinear
system,a controller of the nonlinear svstem can be
systematically designed．On this issue．several studies
have been done[4]．『6】．However,all of them concern
a special type Of TSK fuzzy model where a linear
equation in the consequent of a fuzzy rule does not
have a constant term．A TSK fuzzy model consisting
of these fuzzy rules can not represent a nonlinear
system with high accuracy．This Paper deals with a
TSK fuzzy rule of which consequent is all aft'me
equation having a constant term．The objective of this
paper is to design a controller based on a TSK fuzzy
model,which is a nonlinear controller and guarantees
the stability of the closed loop system．Since a TSK
fuzzy model is a nonlinear system made by combining
linear systems,this paper suggests using the methods
developed for linear controllers．such as the pole
placement and the integral contr01．The controller
suggested in this Paper consists Of TSK fuzzy rules
and the number of the rules is the same as that of
the model．The controller is called TSK fuzzy
controller．The premises of the TSK fuzzy controller
are the Sallle as those of the TSK fuzzy model and
the consequentS are linear controllers designed from
the consequents of the model．This Paper deals with
single input and single output systems for brevity．The
presented methods,however,can be extended to
multivariable systems．
我要是的人脑翻译！
软件翻译的一眼就看出来了····

摘要
本文介绍了基于一种由TSK模糊定理构成的TSK模糊模型,由这种TSK模糊定理解得的解是一个拥有一个常数项的状态方程.极点配置法的运用保证了控制器由TSK模糊定理构成,同时满足了闭环系统的稳定性.为二进制控制系统而采用的极点配置和集总控制用在了TSK模糊控制器中.模糊控制器的闭环系统的行为与期望的状态转移矩阵的线性系统的行为是相同的.本文同时介绍了模拟系统及离散系统.
1.介绍
r是定理的序号,F（z）是2i的成员值.一个TSK模糊模型可以被输入-输出数据识别出来【2】.因此,如果能由线性TSK模糊模型设计出一个稳定性有保障的控制器,那么非线性系统中的控制器就可以进行系统化的设计了.在这种情况下,已经进行了许多的研究【4】【6】.然而,先前的所有项目都只是在关心一种TSK模糊模型的特殊情况,即模糊定理的线性方程的解中没有常数项.由这些模糊定理构成的TSK模糊模型不能将非线性系统高精确度的还原出来.本文研究了一种在aft'me（你打错了）方程的解中含有常数项的TSK模糊定理.本文的目的是设计一种基于TSK模糊模型的控制器,这种控制器是一个非线性的控制器,而且还保证了闭环系统的稳定性.由于TSK模糊模型是一个有许多线性系统组成的非线性系统,本文中用了一种设计线性控制器方法的进阶方法.如极点配置法和集总控制法.本文中提到的控制器是基于TSK模糊定理的.这个定理的数目与那个模型的定理数目是相同的.我们把这个控制器叫做TSK模糊控制器.TSK模糊控制器的精确度与TSK模型中算得的一样,并且得到的解就是由模型设计的线性控制器的解.本文简要的分析了信号的输入和输出.然而,本文中所介绍的方法同样也可扩展到多变量系统中.