𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Constrained fuzzy controller design of discrete Takagi–Sugeno fuzzy models

✍ Scribed by Wen-Jer Chang; Chein-Chung Sun


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
279 KB
Volume
133
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

✦ Synopsis


The motivation for the work presented in this paper results from the need to ÿnd fuzzy controllers with a common observability Gramian for discrete Takagi-Sugeno fuzzy systems. The developed approach is based on the parallel distributed compensation concept. For each rule of the discrete Takagi-Sugeno fuzzy model, the present approach will show a way to parametrize the static linear output feedback control gains for achieving a certain common observability Gramian for all subsystems. A numerical example will be given to illustrate the utility of the proposed technique.


📜 SIMILAR VOLUMES


Fuzzy model-based predictive control usi
✍ J.A. Roubos; S. Mollov; R. Babuška; H.B. Verbruggen 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 381 KB

Nonlinear model-based predictive control (MBPC) in multi-input multi-output (MIMO) process control is attractive for industry. However, two main problems need to be considered: (i) obtaining a good nonlinear model of the process, and (ii) applying the model for control purposes. In this paper, recen

Design of fuzzy logic controllers for Ta
✍ L.K. Wong; F.H.F. Leung; P.K.S. Tam 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 153 KB

A new fuzzy logic controller (FLC) for the Takagi-Sugeno (TS) fuzzy model based systems is proposed in this paper. This new FLC has two consequents in each rule. They are a numerator part and a denominator part. It can be shown that on applying this FLC, the number of fuzzy sub-systems will remain t

Quadratic stability analysis of the Taka
✍ Kiriakos Kiriakidis; Apostolos Grivas; Anthony Tzes 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 678 KB

The nonlinear dynamic Takagi-Sugeno fuzzy model with offset terms is analyzed as a perturbed linear system. A sufficient criterion for the robust stability of this nominal system against nonlinear perturbations guarantees quadratic stability of the fuzzy model. The criterion accepts a convex program

Real-time takagi–sugeno fuzzy control of
✍ Ramon Garcia-Hernandez; Jose A. Ruz-Hernandez; Edgar N. Sanchez; Victor Santibañ 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 294 KB 👁 1 views

This paper presents the development of a control algorithm, which combines the linear regulator theory and Takagi-Sugeno (T-S) fuzzy modeling. Each local controller consists in a feedback control term plus a trajectory tracking term. The global controller is determined by means of T-S methodology. T

Stability analysis of the discrete Takag
✍ Jyh-Horng Chou; Shinn-Horng Chen 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 92 KB

In this paper, we present two new robust stability criteria to analyze the robust stability of the discrete Takagi-Sugeno (TS) fuzzy dynamic model with time-varying consequent uncertainties. These proposed robust stability criteria do not need ÿnding a common positive-deÿnite matrix solution of Lyap