Enhancing Stability in Autonomous Control Systems Through Fuzzy Gain Scheduling (FGS) and Lyapunov Function Analysis

R Venkatesh, DD Rao, V Sangeetha… - International Journal of …, 2024 - Springer
Traditional control methods may struggle to adapt to the nonlinear and uncertain
characteristics in Autonomous Vehicle Control. In recent years, fuzzy control techniques …

Robust fault hiding approach for T–S fuzzy systems with unmeasured premise variables

MM Quadros, VJS Leite, RM Palhares - Information Sciences, 2022 - Elsevier
This paper proposes the design of a robust Takagi–Sugeno (T–S) fuzzy reconfiguration
block for systems with unmeasured premise variables. The reconfiguration block is …

Gain‐scheduled control for discrete‐time non‐linear parameter‐varying systems with time‐varying delays

MLC Peixoto, MF Braga… - IET Control Theory & …, 2020 - Wiley Online Library
This study addresses the gain‐scheduled control problem for discrete‐time delayed non‐
linear parameter‐varying (NLPV) and linear parameter‐varying (LPV) systems. First, by …

Delayed nonquadratic L2-stabilization of continuous-time nonlinear Takagi–Sugeno fuzzy models

RF Araujo, PHS Coutinho, AT Nguyen, RM Palhares - Information Sciences, 2021 - Elsevier
This work deals with the design of fuzzy controllers for stabilization of continuous-time
nonlinear systems subject to L 2 disturbances, which are represented by nonlinear Takagi …

Robust sampled‐data controller design for uncertain nonlinear systems via Euler discretization

PHS Coutinho, M Bernal… - International Journal of …, 2020 - Wiley Online Library
Robust stabilization of a class of uncertain nonlinear systems through a sampled‐data
control law is considered in this work. Based on the forward discrete‐time Euler …

Plug-and-play distributed control of large-scale nonlinear systems

RF Araújo, LAB Torres… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A method to design plug-and-play (PnP) distributed controllers for large-scale nonlinear
systems represented by interconnected Takagi–Sugeno fuzzy models with nonlinear …

A hybrid incomplete decision system using fuzzy sets and rough set theory with varying object sets and values

A Megala, C Veeramani - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Researchers in science and engineering face various obstacles due to a lack of specific and
full data. Many different approaches have been devised to deal with these restrictive …