Implementation of electronic medication management systems in hospital settings: a theory-informed systematic review protocol of mechanisms influencing patient safety, operational efficiency and staff experience. [PDF]
BMJ Health Care InformUkaegbu CV, Asiegbu DK.
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
, 1984 Bimonthly magazine discussing topics related to aviation and model airplane engines including collecting, restoring, maintaining, and identifying engines, along with ...
The Model Museum, Dannels, Timothy J.
core
Excitation-dependent evolution of emissive states <i>via</i> interfacial electronic coupling in a carbon quantum dot/rhodamine 6G hybrid system. [PDF]
RSC AdvTrung DD +10 more
europepmc +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
, 1985 Bimonthly magazine discussing topics related to aviation and model airplane engines including collecting, restoring, maintaining, and identifying engines, along with ...
The Model Museum, Dannels, Timothy J.
core
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
, 1994 Bimonthly magazine discussing topics related to aviation and model airplane engines including collecting, restoring, maintaining, and identifying engines, along with ...
The Model Museum, Dannels, Timothy J.
core
Interpretable Deep Learning of Molecule-Solvent Interactions Using a Solvatochromic Subgroup Contribution Framework. [PDF]
Adv Sci (Weinh)Park J, Han M, Lee K, Kim S, Park S.
europepmc +1 more source