Results 91 to 100 of about 588,921 (316)

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, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

LoRaWAN Optimization for Voltage Monitoring

IEEE Access
This study examines the challenges encountered when using wireless technologies based on random multiple access for voltage monitoring in low voltage (LV) electrical grids.
Dmitriy Kim, Andrey Turlikov, Georgi Georgiev, Tatyana Dedova   +3 more
doaj   +1 more source

Quantum Optimization Problems [PDF]

, 2002
date ...
openaire   +2 more sources

Second-order cone programming formulations for a class of problems in structural optimization

, 2010
This paper provides efficient and easy to implement formulations for two problems in structural optimization as second-order cone programming (SOCP) problems based on the minimum compliance method and derived using the principle of complementary energy ...
Makrodimopoulos, A., Keane, A.J., Bhaskar, A.   +2 more
core   +1 more source

Experimental Evaluation of 100Cr6 Steel Microindented Surfaces Under Lubricated Nonconformal Point Contacts

Advanced Engineering Materials, EarlyView.
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi, Pasquale Guglielmi, Gianfranco Palumbo, Giuseppe Carbone   +3 more
wiley   +1 more source

Power Battery Scheduling Optimization Based on Deep Deterministic Strategy Gradient Algorithm With Bayesian Optimization

IEEE Access
Under the promotion of the national new energy strategy, the utilization rate of renewable energy is steadily increasing, and the application scale of power batteries is growing.
Yue Li, Wei Huang, Dan Xu, Haiya Zheng, Chuanhu Du, Mengqi Li, Yiji Meng   +6 more
doaj   +1 more source

Simple Case Study on Radius of Radial Basis Function Network for Sequential Approximate Optimization

SICE Journal of Control, Measurement, and System Integration, 2017
Radial basis function (RBF) networks are used for various research field. Especially, they make handling easy for classification and function approximation due to their mathematical form.
Yoshiaki Katada
doaj   +1 more source

Remote Services for Advanced Problem Optimization

, 2008
In this chapter we present some remote services for advanced problem optimization. These tools permit us to get a set of resources useful to approach problems easily using the Internet as a channel of experimentation with the optimization algorithms ...
F. Fernández, J. A. Gómez, M. A. Vega, Vega, M.A., Fernández, F., Guisado Lizar, José Luis, J. M. Sánchez, Lombraña, D., D. Lombraña, Gómez, J.A., Sánchez, J.M., J. L. Guisado   +11 more
core   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Oil production management based on neural network optimization of well operation at the pilot project site of the Vatyeganskoe field (Territorial Production Enterprise Povkhneftegaz)

Georesursy
Optimization of the “mature” fields development in machine learning algorithms is one of the urgent problems nowadays. The task is set to extend the effective operation of wells, optimize production management at the late stage of field development ...
L. S. Brilliant, M. R. Dulkarnaev, M. Yu. Danko, A. O. Elisheva, D. K. Nabiev, A. I. Khutornaya, I. N. Malkov   +6 more
doaj   +1 more source