Robust non-fragile fuzzy control of uncertain DC microgrids feeding constant power loads

N Vafamand, MH Khooban, T Dragičević… - … on Power Electronics, 2019 - ieeexplore.ieee.org
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 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 …

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 …

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 …

Fuzzy model-based controller for blood glucose control in type 1 diabetes: An LMI approach

B Farahmand, M Dehghani, N Vafamand - Biomedical Signal Processing …, 2019 - Elsevier
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 …

Model predictive-based reset gain-scheduling dynamic control law for polytopic LPV systems

N Vafamand, A Khayatian - ISA transactions, 2018 - Elsevier
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 …

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 …

Robust sliding mode observer design for simultaneous fault reconstruction in perturbed Takagi-Sugeno fuzzy systems using non-quadratic stability analysis

S Asadi, A Khayatian, M Dehghani… - Journal of Vibration …, 2020 - journals.sagepub.com
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 …

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 …

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 …