In this chapter we first introduce the continuous-time Takagi-Sugeno (TS) fuzzy systems that are employed throughout the book. In the second part of the chapter, we present methods to construct TS models that represent or approximate a nonlinear dynamic system starting from a given model of ...
Takagi-Sugeno fuzzy model should give accurate global non- linear prediction and at the same time that its local models are close approximations to the local linearizations of the nonlinear dynamic system. The latter is important in many applications ...
points of the rules (antecedent parameters) by fuzzy clustering. With fixed antecedent parameters, the TS model transforms into a linear model. Parameters of the linear models associated with each of the rule antecedents are obtained by pseudo-inversion ...
A Max-Min automaton can successfully model a cluster of relevant states when a decision is to be made on the next state of a goal path at the supervisory level. However, to provide analytical proof for stability and other key properties of a fuzzy controller a Takagi-Sugeno (TS) model is...
Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification 2020, IEEE Transactions on Cybernetics Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetic...
The existence of redundant features inevitably leads to the over fittingproblem and further reduces the generalization performance of the fuzzy model. To this end, this paper proposes a1673-9418/2019/13(06)-1016-11doi: 10.3778/j.issn.1673-9418.1804066 ...
(1) The driver-vehicle-road closed-loop system based on T-S model with the fuzzy variable of the longitudinal velocity is established. And the controller of lane keeping is designed combining the two-point preview driver mo...
A Takagi-Sugeno fuzzy model based on the reduced set-vector基于简约集向量的Takagi–Sugeno模糊模型模糊建模核函数简约集向量利用支持向量学习机制建立模糊模型时, 过多的支持向量将导致复杂的模糊模型. 为此提出了一种基于简约集向量的Takagi-Sugeno模糊模型. 该模型抽取简约集向量产生模糊规则, 规则前件的乘积型...
The Takagi–Sugeno (T–S) fuzzy model is a system described by fuzzy IF–THEN rules which can give local linear representation of the nonlinear system by decomposing the whole input space into several partial fuzzy spaces and representing each output space with a linear equation. Such a model ...
A T-S fuzzy model consists of a set of local linear models in different premise variable space regions which are blended through fuzzy membership func- tions. During the past few years, significant research efforts have been devoted to the stability analysis and controller design of T-S ...