Monte Carlo approximation of the logarithm of the determinant of large matrices with applications for linear mixed models in quantitative genetics. [PDF]
Bermann M +5 more
europepmc +1 more source
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen +5 more
wiley +1 more source
Observer-based secure [Formula: see text] control for networked control systems with multiple disturbances, actuator failures, and deception attacks under adaptive event-triggered mechanism. [PDF]
Tajudeen MM +5 more
europepmc +1 more source
A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü +6 more
wiley +1 more source
Multiscale SPD manifold learning for rehabilitation exercise evaluation. [PDF]
Bai Z +6 more
europepmc +1 more source
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
Measuring Stimulus Information Transfer Between Neural Populations Through the Communication Subspace. [PDF]
Weiss O, Coen-Cagli R.
europepmc +1 more source
Harmonic mean density fusion in distributed tracking: Performance and comparison
In distributed tracking, the harmonic mean density (HMD) fusion can deal with issues, such as non‐independent estimates, inflated covariance and fusion of Gaussian mixtures. This article provides some important results on HMD and shares its resemblance with the state‐of‐the‐art inverse covariance intersection (ICI). Abstract A distributed sensor fusion
Nikhil Sharma +2 more
wiley +1 more source
Symplectic physics-embedded learning via Lie groups Hamiltonian formulation for serial manipulator dynamics prediction. [PDF]
Wang F, Chen L, Ding J.
europepmc +1 more source
ABSTRACT The objective was to prepare guidelines to perform the current optimum treatment by organizing effective and efficient treatments of hemangiomas and vascular malformations, confirming the safety, and systematizing treatment, employing evidence‐based medicine techniques and aimed at improvement of the outcomes.
Yoshiaki Kinoshita +116 more
wiley +1 more source

