Robust H∞ control of TS fuzzy systems with input time-varying delays: a delay partitioning method

M Li, F Shu, D Liu, S Zhong - Applied Mathematics and Computation, 2018 - Elsevier
Addressed in this paper is the robust H∞ control issue of TS fuzzy systems with input time-
varying delays. By means of the delay partitioning method, the delay interval is partitioned …

Unknown input method based observer synthesis for a discrete time uncertain T–S fuzzy system

VP Vu, WJ Wang, JM Zurada… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we propose a novel approach based on an unknown input method to
synthesize the observer for a discrete time uncertain Takagi-Sugeno fuzzy system. The …

Unknown input-based observer synthesis for a polynomial T–S fuzzy model system with uncertainties

VP Vu, WJ Wang, HC Chen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper proposes a new approach based on the unknown input method to synthesize the
observer for polynomial Takagi–Sugeno fuzzy system with uncertainties. In this paper, the …

Stability analysis and control synthesis for fuzzy‐observer‐based controller of nonlinear systems: a fuzzy‐model‐based control approach

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 …

Switching TS fuzzy model-based dynamic sliding mode observer design for non-differentiable nonlinear systems

K Zare, M Shasadeghi, A Izadian, T Niknam… - … Applications of Artificial …, 2020 - Elsevier
This paper presents four sliding mode observers (SMOs) based on a novel approach in
Takagi–Sugeno (TS) fuzzy modeling of multi-input multi-output (MIMO) non-linear systems …

Observer‐based controller design for uncertain disturbed Takagi‐Sugeno fuzzy systems: a fuzzy wavelet neural network approach

Z Ebrahimi, MH Asemani… - International Journal of …, 2021 - Wiley Online Library
In this article, we develop a novel method to design a controller for nonlinear systems
represented by Takagi‐Sugeno (T‐S) fuzzy model in the presence of unknown dynamics …

Optimal sliding mode control design for constrained uncertain nonlinear systems using T–S fuzzy approach

F Soltanian, M Shasadeghi - Iranian Journal of Science and Technology …, 2022 - Springer
This paper proposes a novel optimal sliding mode (SMC) control for uncertain multi-variable
nonlinear systems described by Takagi–Sugeno fuzzy model (TSFM). The nonlinear system …

A synthesis of observer-based controller for stabilizing uncertain TS fuzzy systems

WJ Wang, VP Vu, W Chang, CH Sun… - Journal of Intelligent & …, 2016 - content.iospress.com
This study considers the robust stabilization problem of uncertain Takagi-Sugeno (TS) fuzzy
systems in which some or all state variables are unavailable. The considered uncertainties …

AT–S fuzzy approach to the local stabilization of nonlinear discrete-time systems subject to energy-bounded disturbances

M Klug, EB Castelan, D Coutinho - Journal of Control, Automation and …, 2015 - Springer
This paper addresses the local stabilization problem of nonlinear discrete-time systems
subject to energy-bounded disturbances by means of T–S fuzzy models. A fuzzy state …

Fuzzy output‐feedback control for non‐linear systems with input time‐varying delay

H Li, Y Pan, Z Yu, X Zhao… - IET Control Theory & …, 2014 - Wiley Online Library
This study investigates the problem of output‐feedback H∞ control for Takagi–Sugeno fuzzy
systems with input time‐varying delay. Firstly, a new type of dynamic output‐feedback …