Results 61 to 70 of about 1,752 (184)

Neural Network Based Adaptive Backstepping Control for Electro-Hydraulic Servo System Position Tracking

International Journal of Aerospace Engineering, 2022
The modeling uncertainties and external disturbances of electro-hydraulic servo system (EHSS) deteriorate the system’s trajectory tracking performance. To cope with this issue, an adaptive backstepping controller based on neural network (NN) is proposed ...
Zhenshuai Wan, Longwang Yue, Yu Fu
doaj   +1 more source

Control System for the Navigation of the Agricultural Robots: A Review

Journal of Field Robotics, Volume 43, Issue 5, Page 3474-3505, August 2026.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía, Hugo Rafacho Fernandes, Daniel Albiero, Angel Pontin Garcia   +3 more
wiley   +1 more source

Glacial Imprints and Marine Overprints: Sediment Architecture and Fjord Evolution in Fiordland, New Zealand

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Fjords are globally significant sedimentary archives that record the relationship between glacial, tectonic, and marine processes. Fiordland, on the southwest coast of New Zealand, hosts one of the most extensive temperate fjord provinces in the Southern Hemisphere, yet its postglacial evolution has remained poorly constrained.
Ellen Unland, Andrew R. Gorman, Philip M. Barnes, Christopher M. Moy, Gary S. Wilson, Christina R. Riesselman, Jess I. T. Hillman   +6 more
wiley   +1 more source

A novel combined control based on an adaptive generalized back-stepping method for a class of nonlinear systems

Cogent Engineering, 2018
This paper was aimed at using an adaptive control to develop a backstepping method for a special class of nonlinear systems, which requires no information on the upper bound of parametric uncertainty or disturbance.
Malek Ghanavati, Karim Salahshoor, Mohammad Reza Jahed-Motlagh, Amin Ramezani, Ali Moarefianpur   +4 more
doaj   +1 more source

Flow‐pattern evolution of the Scandinavian Ice Sheet indicated by the subglacial lineation record over Norway, Sweden and Finland

Boreas, Volume 55, Issue 3, Page 612-669, July 2026.
We present a 25‐stage reconstruction of the ice‐flow pattern evolution of the Scandinavian Ice Sheet based on mapping and analysis of ~240 000 subglacial lineations and lineation fields across Norway, Sweden, Finland, and parts of NW Russia. Our reconstruction uses a glacial geomorphological inversion approach, in which we generated 611 individual ...
Frances E. G. Butcher, Anna L. C. Hughes, Helen E. Dulfer, Christopher D. Clark, Jeremy C. Ely, Emma L. M. Lewington, Benjamin M. Boyes, Alex C. Scoffield, Stephen Howcutt, Christiaan R. Diemont   +9 more
wiley   +1 more source

Adaptive Backstepping Sliding Mode Control of Air-Breathing Hypersonic Vehicles

International Journal of Aerospace Engineering, 2020
In this paper, a controller combining backstepping and adaptive supertwisting sliding mode control method is proposed for altitude and velocity tracking control of air-breathing hypersonic vehicles (AHVs). Firstly, the nonlinear longitudinal model of AHV
Shuo Wang, Ju Jiang, Chaojun Yu
doaj   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

A Data‐Driven Control Framework for HIV Infection Using Projection Recurrent Neural Networks and Singular Value Analysis

Engineering Reports, Volume 8, Issue 6, June 2026.
The study introduces a model‐free data‐driven control strategy combining sliding mode control with a projection recurrent neural network to regulate HIV dynamics. The method eliminates dependence on mathematical models, ensures constrained optimal drug dosing, and robustly drives HIV states to a healthy equilibrium despite uncertainty. ABSTRACT In this
Ashkan Zarghami, Mehdi Siahi, Fereidoun Nowshiravan Rahatabad   +2 more
wiley   +1 more source

Adaptive Backstepping Attitude Control Law with L2-Gain Performance for Flexible Spacecraft

International Journal of Aerospace Engineering, 2019
In this paper, an observer-based adaptive backstepping attitude maneuver controller (briefly, OBABC) for flexible spacecraft is presented. First, an observer is constructed to estimate the flexible modal variables.
Rui-Qi Dong, Yu-Yao Wu, Ying Zhang, Ai-Guo Wu   +3 more
doaj   +1 more source

Disturbance‐Resilient Voltage/Power‐Quality Management for Islanded Inverters Using Self‐Tuning Type‐3 Fuzzy Controller

Energy Science &Engineering, Volume 14, Issue 6, Page 2816-2838, June 2026.
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian, Jun‐Bo Mao, Nurkhat Zhakiyev, Didar Yedilkhan, Ruslan Omirgaliyev, Du Changdong, Amirhossein Khosravi Sarvenoee, Ardashir Mohammadzadeh   +7 more
wiley   +1 more source