Enhancing Stability in Autonomous Control Systems Through Fuzzy Gain Scheduling (FGS) and Lyapunov Function Analysis
Traditional control methods may struggle to adapt to the nonlinear and uncertain
characteristics in Autonomous Vehicle Control. In recent years, fuzzy control techniques …
characteristics in Autonomous Vehicle Control. In recent years, fuzzy control techniques …
Robust fault hiding approach for T–S fuzzy systems with unmeasured premise variables
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 …
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 …
linear parameter‐varying (NLPV) and linear parameter‐varying (LPV) systems. First, by …
Delayed nonquadratic L2-stabilization of continuous-time nonlinear Takagi–Sugeno fuzzy models
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 …
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 …
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 …
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 …
full data. Many different approaches have been devised to deal with these restrictive …