Results 71 to 80 of about 4,487 (224)
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li +5 more
wiley +1 more source
, 2021 Thin coal seam mining is a development direction to solve the problem of energy supply at this stage, which cannot be realized by small working space, low automation, and drilling deviation.
Songyong Liu, Huifu Ji
core +1 more source
Genetic-Algorithm-Optimized Adaptive Backstepping MRAC for Robust Quadrotor Trajectory Tracking
ITEGAM-JETIAThis paper presents an adaptive control strategy for quadrotor unmanned aerial vehicles (UAVs operating under parametric uncertainties and external disturbances.
Messaoud Mokhtari +2 more
doaj +1 more source
Adaptive Backstepping Sliding Mode Control for Boost Converter With Constant Power Load
IEEE Access, 2019 The negative impedance characteristics of a constant power load (CPL) can easily lead to the instability of the DC bus voltage. To improve the stability of the DC bus voltage, an adaptive backstepping sliding mode control strategy for a boost converter ...
Jiarong Wu, Yimin Lu
doaj +1 more source
Boreas, EarlyView.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 +9 more
wiley +1 more source
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
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 +3 more
wiley +1 more source
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 +2 more
wiley +1 more source
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 +4 more
doaj +1 more source
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 +7 more
wiley +1 more source