Robust sliding mode preview control for uncertain discrete-time systems with time-varying delay

J Ren, C Jiang - Proceedings of the Institution of Mechanical …, 2022 - journals.sagepub.com
This article focuses on the problem of robust sliding mode preview control for a class of non-
linear delayed systems. It is assumed that the reference signal is previewed with a fixed …

Enhancement of the Tracking Performance for Robot Manipulator by Using the Feed-forward Scheme and Reasonable Switching Mechanism

HQT Ngo, MH Nguyen - Journal of Robotics and Control (JRC), 2022 - journal.umy.ac.id
Robot manipulator has become an exciting topic for many researchers during several
decades. They have investigated the advanced algorithms such as sliding mode control …

An extensive critique of sliding mode control and adaptive neuro‐fuzzy inference system for nonlinear system

J George, G Mani… - Asian Journal of …, 2022 - Wiley Online Library
Nonlinear control hypothesis is the region of control hypothesis which manages frameworks
that are nonlinear, time‐variant, or both. Nonlinear control structures have extended high …

Non‐singular terminal sliding mode control strategy for DC/DC Boost converter system using a finite‐time convergent observer

S Zheng, M Qi, Y Shu, Y Wang, J Lang - IET Power Electronics, 2022 - Wiley Online Library
Aiming at such problems as poor dynamic and steady‐state performance, and non‐ideal
anti‐interference performance when the traditional sliding mode control is applied in Boost …

Design of PID controller based on ELM and its implementation for buck converters

Y Lu, WX Yu, JN Wang, D Jiang, RQ Li - International Journal of Control …, 2021 - Springer
Buck converter is a kind of converter device with high efficiency, wide adjustable output
voltage, small loss, small size and light weight. Its circuit has nonlinearity and will exhibit …

Model reference adaptive control and fuzzy neural network synchronous motion compensator for gantry robots

CS Chen, NT Hu - Energies, 2021 - mdpi.com
A model reference adaptive control and fuzzy neural network (FNN) synchronous motion
compensator for a gantry robot is presented in this paper. This paper proposes the …

Fuzzy Logic PID Controller with Both Coefficient and Error Modifications for Digitally-Controlled DC–DC Switching Converters

J Liu, T Wei, N Chen, J Wu, P Xiao - Journal of Electrical Engineering & …, 2023 - Springer
To improve the transient response performance of digitally-controlled DC–DC switching
converters, a fuzzy logic control proportional-integral–differential (FLC–PID) controller with …

Fuzzy Neural Network Sliding Mode Controller for DC-DC Buck Converter

J Fei, D Jiang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
To promote the robust ability and voltage tracking performance of DC-DC buck converter, a
voltage tracking control system using a neural network estimator is proposed. The proposed …

Control Strategies and Stabilization Techniques for DC/DC Converters Application in DC MGs: Challenges, Opportunities, and Prospects—A Review

A Nduwamungu, TT Lie, I Lestas, NKC Nair… - Energies, 2024 - mdpi.com
DC microgrids (DC MGs) offer advantages such as efficiency, control, cost, reliability, and
size compared to AC MGs. However, they often operate with numerous constant power …

Robust multiple frequency design on voltage-mode control of DC-DC boost converters

P Li, Y Wang, Z Zuo - Journal of the Franklin Institute, 2023 - Elsevier
This paper develops robust multiple frequency voltage-mode control for a DC-DC boost
converter with parameter uncertainties as well as load and source voltage disturbances. By …