Results 231 to 240 of about 4,166,400 (347)
Deep reinforcement learning using deep-Q-network for Global Maximum Power Point tracking: Design and experiments in real photovoltaic systems. [PDF]
Giraldo LF +4 more
europepmc +1 more source
Objective We aimed to validate the Pediatric Arthritis Ultrasound Scoring System (PAUSS) for upper extremity joints in children with juvenile idiopathic arthritis (JIA). Methods Children with JIA were evaluated for elbow, wrist, or finger arthritis by clinical examination (CE) and musculoskeletal ultrasound (MSUS) with images scored according to the ...
Patricia Vega‐Fernandez +12 more
wiley +1 more source
Modeling and Maximum Power Point Tracking Techniques of Photovoltaic Systems
Marcelo Cabral Cavalcanti +4 more
doaj +1 more source
A novel development of hybrid maximum power point tracking controller for solar pv systems with wide voltage gain DC-DC converter. [PDF]
Udayanan R, Chitraselvi S, Ramanujam N.
europepmc +1 more source
Objective The goal was to assess the diagnostic performance of three novel autoantibodies (NA) for Sjögren's disease (SjD) by comparing NA prevalence in patients with SjD, other autoimmune rheumatic diseases (ARDs), nonspecific chronic sialadenitis (CS), and controls.
Chadwick R. Johr +5 more
wiley +1 more source
Maximum Power Point Tracking of Photovoltaic System Based on Reinforcement Learning. [PDF]
Chou KY, Yang ST, Chen AY.
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
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
Maximum Power Point Tracking of Photovoltaic Generation System Using Improved Quantum-Behavior Particle Swarm Optimization. [PDF]
Yu GR, Chang YD, Lee WS.
europepmc +1 more source
MAXIMUM POWER POINT TRACKING FOR PHOTO MODULES
V. M. Sineglazov +2 more
openaire +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source

