Optimized sliding mode controller for trajectory tracking of flexible joints three-link manipulator with noise in input and output
MI Azeez, AMM Abdelhaleem, S Elnaggar… - Scientific reports, 2023 - nature.com
The aim of this study is to enhance the performance of a nonlinear three-rigid-link maneuver
(RLM) in terms of trajectory tracking, disturbance and noise cancellation, and adaptability to …
(RLM) in terms of trajectory tracking, disturbance and noise cancellation, and adaptability to …
Recurrent-neural-network-based fractional order sliding mode control for harmonic suppression of power grid
Y Chu, S Hou, C Wang, J Fei - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
A continuous fractional order sliding mode controller based on a developed output feedback
feature selection neural network (OFFSNN) for an active power filter (APF) is studied in this …
feature selection neural network (OFFSNN) for an active power filter (APF) is studied in this …
Conformable fractional order controller design and implementation for per-phase voltage regulation of three-phase SEIG under unbalanced load
E Ilten - Electric Power Components and Systems, 2022 - Taylor & Francis
Self-excited induction generators (SEIGs) usage is an effective way to generate electrical
power in off-grid locations. This study aims to performance improvement for voltage …
power in off-grid locations. This study aims to performance improvement for voltage …
Fuzzy logic approach for controlling uncertain and nonlinear systems: a comprehensive review of applications and advances
HH Tang, NS Ahmad - Systems Science & Control Engineering, 2024 - Taylor & Francis
This paper presents a comprehensive review of the latest developments in fuzzy logic (FL)
applications across critical domains which include energy harvesting (EH), ambient …
applications across critical domains which include energy harvesting (EH), ambient …
Pareto optimal design of a fuzzy adaptive sliding mode controller for a three-link model of a biped robot via the multi-objective improved team game algorithm
R Abedzadeh Maafi, S Etemadi Haghighi… - Journal of the Brazilian …, 2022 - Springer
The control problem of a biped robot is scientifically challenging work because it is an
unstable, multi-input–multi-output and extremely nonlinear system. This investigation tends …
unstable, multi-input–multi-output and extremely nonlinear system. This investigation tends …
Enhancing robustness and noise rejection in flexible joint manipulators: an optimized sliding mode controller with enhanced gray wolf optimization for trajectory …
MI Azeez, S Elnaggar, AMM Abdelhaleem… - Journal of the Brazilian …, 2023 - Springer
The objective of this study is to enhance the performance of a nonlinear three-rigid-link
manipulator (RLM) with a focus on trajectory tracking, robustness against disturbances and …
manipulator (RLM) with a focus on trajectory tracking, robustness against disturbances and …
Conformable fractional order PI controller design and optimization for permanent magnet synchronous motor speed tracking system
E İlten - Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021 - dergipark.org.tr
The use of permanent magnet synchronous motor (PMSM) is increasing rapidly to meet the
need to increase efficiency in variable speed drive systems used in the industry, in recent …
need to increase efficiency in variable speed drive systems used in the industry, in recent …
A novel iterative learning control method for longitudinal trajectory tracking of aerospace vehicles
Z Cheng, W Fu, L Liu, B Wang… - International Journal of …, 2024 - Wiley Online Library
Considering the precise model information of the aerospace model is not always available
under the effect of external disturbance and model uncertainty, a new data‐driven point‐to …
under the effect of external disturbance and model uncertainty, a new data‐driven point‐to …
Intelligent compensating method for MPC-based deviation correction with stratum uncertainty in vertical drilling process
With the rapid development of control technology, increasing applications are using model
predictive control (MPC) for deviation correction in vertical drilling. However, the accuracy of …
predictive control (MPC) for deviation correction in vertical drilling. However, the accuracy of …
Nash game‐based adaptive robust control design optimization for the underactuated mechanical system with fuzzy evidence theory
Y Zheng, H Zhao, C He - Optimal Control Applications and …, 2023 - Wiley Online Library
This article proposes a novel Nash game‐theoretical optimal adaptive robust control design
approach to address the constraint‐following control problem for the uncertain …
approach to address the constraint‐following control problem for the uncertain …