Results 141 to 150 of about 6,303,126 (332)

Difference Methods for Initial-Value Problems.

, 1959
Samuel Goldberg, Robert D. Richtmyer
openalex   +2 more sources

The Initial-Value Problem for a Slab. II. Nonuniform Slab [PDF]

, 1966
Janusz Mika
openalex   +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, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Nine-Stage Runge–Kutta–Nyström Pairs Sharing Orders Eight and Six

Mathematics
We explore second-order systems of non-stiff initial-value problems (IVPs), particularly those cases where the first derivatives are absent. These types of problems are of significant interest and have applications in various domains, such as astronomy ...
Hadeel Alharbi, Kusum Yadav, Rabie A. Ramadan, Houssem Jerbi, Theodore E. Simos, Charalampos Tsitouras   +5 more
doaj   +1 more source

On the initial value problem for the wave equation in Friedmann-Robertson-Walker space-times. [PDF]

Proc Math Phys Eng Sci, 2014
Abbasi B, Craig W.
europepmc   +1 more source

The second initial-boundary-value problem for a linear parabolic equation with a small parameter. [PDF]

, 1968
L. E. Bobisud
openalex   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

A novel class of Runge-Kutta-Nyström pairs sharing orders 8(6)

AIMS Mathematics
We are examining a second-order system of non-stiff Initial Value Problems (IVP), focusing on a scenario where the first derivatives are not present. In the realm of solving IVPs, Runge-Kutta-Nyström (RKN) pairs have proven to be highly effective.
Yu He, Jianing Yang, Theodore E. Simos, Charalampos Tsitouras   +3 more
doaj   +1 more source

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source

Solutions to Riccati-s Problem as Functions of Initial Values [PDF]

, 1960
G. S. McCarty
openalex   +1 more source