Takagi-Sugeno (T-S) fuzzy modelParallel Distributed Compensation (PDC)Attitude controlFlexible spacecraftLinear Matrix Inequalities (LMIs)H∞-normThis paper presents a Takagi-Sugeno (T-S) fuzzy model-based approach to model and control a rigid spacecraft with flexible antenna. First, the equations...
to the TS model we arrive at a new type adaptive model called the Evolving Takagi–Sugeno model (ETS). The adaptive nature of these evolving TS models in combination with the highly transparent and compact form of fuzzy rules makes them a ...
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 ...
based on Takagi-Sugeno (T-S) model is well suited to model-based nonlinear con- trol [5–7]. 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, signi...
Takagi-Sugeno fuzzy modelObserver-based controlProportional derivative design methodThis study investigates the issue of stability analysis and controller synthesis for nonlinear singular systems. Via applying a fuzzy modeling approach, the nonlinear singular system is expressed by a Takagi-Sugeno (T-S) ...
1, the Takagi–Sugeno (T–S) fuzzy model considered is described by the following fuzzy IF–THEN rules:Rulei:IFx1isAi1and⋯andxNIisAiNI,THENyi=ai0+ai1x1+⋯+aiNIxNI,where i = 1, …, NR, NR is the number of IF–THEN rules, x=[x1…xNI] the premise input variable, NI the ...
Takagi-Sugeno fuzzy modelstability analysisIn this paper, we present a new time domain stability criterion to analyze the stability of the discrete TS (Takagi-Sugeno) fuzzy dynamic model by which nonlinear systems can be precisely identified. Unlike recently reported sufficient stability criteria in ...
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...
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 ...
基于Takagi-Sugeno模糊模型的模糊控制 天津大学 硕士学位论文 基于Takagi-Sugeno模糊模型的模糊控制 姓名：徐妮妮 申请学位级别：硕士 专业：控制理论与控制工程 指导教师：高志伟 2002.1.1