Results 151 to 160 of about 49,758 (267)
A proposed mechanistic framework of systemic lupus erythematosus (SLE) and autoimmune thyroid disease (AITD) pathogenesis. In Stage 1, genetically susceptible individuals harbor risk variants within major histocompatibility complex (HLA) and non‐HLA loci that impair central and peripheral immune tolerance mechanisms within the thymic and peripheral ...
Elisa Elisa +3 more
wiley +1 more source
Evaluating the performance of EEG based on ANN to predict the effectiveness of tDCS combined evaluative conditioning on obsession symptoms reduction in contamination OCD patients: Secondary analysis of data from a randomized controlled trial. [PDF]
Asadollahzadeh Shamkhal F +4 more
europepmc +1 more source
Sliding Mode Control in Aerospace Applications: A Survey
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley +1 more source
Predictive coding explains asymmetric connectivity in the brain: A neural network study. [PDF]
Khan R +4 more
europepmc +1 more source
ABSTRACT Quadrupedal robots operating in unstructured environments require adaptive control systems that can handle diverse terrain conditions without prior surface characterization. This paper presents an integrated control architecture that combines Model Predictive Control (MPC) with adaptive impedance control and SINDy‐based model corrections for ...
Peter James McConnellogue +4 more
wiley +1 more source
Synergy-based feedforward with minimal feedback control predicts walking over multiple cycles. [PDF]
Williams ST, Li G, Fregly BJ.
europepmc +1 more source
Neural Network‐Based Runtime Monitoring and Control for Unknown Nonlinear Systems
ABSTRACT Real‐time system monitoring and stabilization become especially challenging when the system dynamics are unknown. This article introduces a novel design for monitoring and stabilizing unknown nonlinear systems with measurement noise. The design utilizes a generic modelling framework by decomposing the system into a known tunable linear ...
Jianglin Lan, Xianxian Zhao, Ron Patton
wiley +1 more source
Auditory-Motor Mechanisms of the Lombard Effect. [PDF]
Aaron AS +3 more
europepmc +1 more source
The role of identification in data‐driven policy iteration: A system theoretic study
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley +1 more source

