Robust non-fragile fuzzy control of uncertain DC microgrids feeding constant power loads
This paper investigates the problem of dynamic stabilization of dc microgrids (MGs) through
a robust non-fragile fuzzy control synthesis of power buffer. The suggested robust fuzzy …
a robust non-fragile fuzzy control synthesis of power buffer. The suggested robust fuzzy …
A Novel Control for T–S Fuzzy Systems With Membership Functions Online Optimization Learning
Z Zhang, J Dong - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
This article investigatesthe optimization nonparallel distribution compensation (non-PDC)
control issue for nonlinear systems under Takagi–Sugeno (T–S) fuzzy framework. First …
control issue for nonlinear systems under Takagi–Sugeno (T–S) fuzzy framework. First …
A new optimization control policy for fuzzy vehicle suspension systems under membership functions online learning
Z Zhang, J Dong - IEEE Transactions on Systems, Man, and …, 2022 - ieeexplore.ieee.org
Active vehicle suspension systems play a crucial role in isolating vibration between the car
body and pavement. In this article, based upon Takagi–Sugeno (T–S) fuzzy model, a novel …
body and pavement. In this article, based upon Takagi–Sugeno (T–S) fuzzy model, a novel …
Robust adaptive tracking control for servo mechanisms with continuous friction compensation
S Wang, H Yu, J Yu - Control Engineering Practice, 2019 - Elsevier
In this paper, a robust adaptive tracking control scheme is developed for servo mechanisms
with nonlinear friction dynamics. A continuously differentiable friction model is used to …
with nonlinear friction dynamics. A continuously differentiable friction model is used to …
Fuzzy model-based controller for blood glucose control in type 1 diabetes: An LMI approach
This paper deals with designing a robust controller with H∞ performance index criteria for
regulating the glucose-insulin level in type 1 diabetes. The proposed approach employs a …
regulating the glucose-insulin level in type 1 diabetes. The proposed approach employs a …
Model predictive-based reset gain-scheduling dynamic control law for polytopic LPV systems
This paper proposes a novel systematic approach for designing a reset gain-scheduling
dynamic controller based on a model predictive method for a class of nonlinear systems …
dynamic controller based on a model predictive method for a class of nonlinear systems …
Local stabilization of continuous-time T–S fuzzy systems with partly measurable premise variables and time-varying delay
Y Wu, J Dong - IEEE Transactions on Systems, Man, and …, 2018 - ieeexplore.ieee.org
This paper investigates the local stabilization problem for TS fuzzy systems with partly
measurable premise variables and time-varying delay. First, by using the measurable …
measurable premise variables and time-varying delay. First, by using the measurable …
Robust sliding mode observer design for simultaneous fault reconstruction in perturbed Takagi-Sugeno fuzzy systems using non-quadratic stability analysis
Appearing faults in a practical system is dispensable, and if it is not compensated, it results
in poor system performance or even dysfunction of the system. The fault detection has …
in poor system performance or even dysfunction of the system. The fault detection has …
Electric vehicle power propulsion system control based on time-varying fractional calculus: Implementation and experimental results
MH Khooban, M Gheisarnejad… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Nowadays, due to the fact that motor efficiency is strictly related to the diminution of
emissions, researchers pay much attention to find a robust and efficient motor control …
emissions, researchers pay much attention to find a robust and efficient motor control …
Takagi‐sugeno fuzzy modeling and pso‐based robust LQR anti‐swing control for overhead crane
X Shao, J Zhang, X Zhang - Mathematical Problems in …, 2019 - Wiley Online Library
The dynamic model of overhead crane is highly nonlinear and uncertain. In this paper,
Takagi‐Sugeno (T‐S) fuzzy modeling and PSO‐based robust linear quadratic regulator …
Takagi‐Sugeno (T‐S) fuzzy modeling and PSO‐based robust linear quadratic regulator …