A nonlinear observer-based control strategy for hybrid energy storage systems to improve voltage disturbance rejection in DC microgrids. [PDF]
Sci RepIhammouchen S +7 more
europepmc +1 more source
Inferential Composition Control of a Distillation Column Using Active Disturbance Rejection Control with Soft Sensors. [PDF]
Sensors (Basel), 2023 Al Kalbani F, Zhang J.
europepmc +1 more source
Harmonic and Narrowband Disturbance Rejection for Linear Time-Periodic Plants
, 1998 This research investigates the harmonic and narrowband disturbance rejection problem for linear time-periodic (LTP) systems. The consequence of disturbances on LTP systems is similar to their linear time-invariant (LTI) counterparts, but is complicated ...
Cole, Daniel G.
core
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Advanced Intelligent Discovery, EarlyView.Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Fixed-Time Active Disturbance Rejection Temperature-Pressure Decoupling Control for a High-Flow Air Intake System. [PDF]
Entropy (Basel)Zhang L +7 more
europepmc +1 more source
The Improved Particle Swarm Optimization Method: An Efficient Parameter Tuning Method with the Tuning Parameters of a Dual-Motor Active Disturbance Rejection Controller. [PDF]
Sensors (Basel), 2023 Deng Y, Zhu J, Liu H.
europepmc +1 more source
Disturbance Rejection in Thermal Power Plants
, 2011 A typical thermal power plant is characterized by nonlinearity, changing parameters, unknown disturbances, large time-delays, large inertia and highly coupled dynamics among various control loops, making it one of the most challenging industrial control ...
Zheng, Qinling, Gao, Zhiqiang, Tan, Wen
core
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Piecewise Sliding-Mode-Enhanced ADRC for Robust Active Disturbance Rejection Control Against Internal and Measurement Noise. [PDF]
Sensors (Basel)Yang S, Ma J, Zhao D, Li C, Fang L.
europepmc +1 more source
Linear-Nonlinear Switching Active Disturbance Rejection Speed Controller for Permanent Magnet Synchronous Motors. [PDF]
Sensors (Basel), 2022 Qu Y +5 more
europepmc +1 more source