MH Asemani, VJ Majd - IEEE Transactions on Fuzzy Systems, 2014 - ieeexplore.ieee.org
This paper addresses an observer-based robust H∞ fuzzy controller design method for singularly perturbed nonlinear systems with external disturbances, which are represented by …
This paper addresses the problem of robust H∞ fuzzy observer-based controller design for the Takagi–Sugeno (T–S) fuzzy systems with unmeasurable premise variables. The …
GB Koo, JB Park, YH Joo - IEEE Transactions on Fuzzy …, 2013 - ieeexplore.ieee.org
This paper presents a decentralized fuzzy control problem for asymptotic stabilization of a class of nonlinear large-scale systems that use an observer-based output-feedback scheme …
J Dong, Y Wang, GH Yang - IEEE Transactions on Systems …, 2010 - ieeexplore.ieee.org
This paper considers the output feedback control problem for nonlinear discrete-time systems, which are represented by a type of fuzzy systems with local nonlinear models. By …
Fuzzy logic control has been studied and developed for decades. It is known to be an effective control approach to some ill-defined and complex control processes. Thanks to …
T Zhao, S Dian - ISA transactions, 2017 - Elsevier
This paper addresses a fuzzy dynamic output feedback H∞ control design problem for continuous-time nonlinear systems via TS fuzzy model. The stability of the fuzzy closed-loop …
HK Lam, H Li, H Liu - IET Control Theory & Applications, 2013 - Wiley Online Library
This study proposes a new category of fuzzy‐observer‐based controllers to stabilise non‐ linear plants based on the fuzzy‐model‐based control approach. A fuzzy observer is …
This paper focuses on studying observer-based controller synthesis for nonlinear plant subject to parameter uncertainties, which is represented as interval type-2 T–S fuzzy model …
Abstract Interval type-2 (IT2) T–S fuzzy model is a useful tool to represent nonlinear systems subject to parameter uncertainties. This study focuses on designing H∞ controllers of IT2 T …