Results 141 to 150 of about 29,867,150 (377)

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

On some iterative methods for solving elliptic difference equations. [PDF]

, 1958
Herbert B. Keller
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

Dynamic Modeling and Experimental Validation of a Water Hydraulic Soft Manipulator Based on an Improved Newton-Euler Iterative Method. [PDF]

Micromachines (Basel), 2022
Chen Y, Sun Q, Guo Q, Gong Y.
europepmc   +1 more source

A Criterion of Convergence for the Classical Iterative Method of Solving Linear Simultaneous Equations [PDF]

, 1945
Clifford E. Berry
openalex   +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

An Improved Pattern Synthesis Iterative Method in Planar Arrays for Obtaining Efficient Footprints with Arbitrary Boundaries. [PDF]

Sensors (Basel), 2021
Salas-Sánchez AÁ, López-Álvarez C, Rodríguez-González JA, López-Martín ME, Ares-Pena FJ.   +4 more
europepmc   +1 more source

Fields of values and iterative methods

Linear Algebra and its Applications, 1993
Giving an interesting example, first the author points out the role of the field of values \(W(T)\) of a complex matrix \(T\) (often called the numerical range of \(T\)) in the analysis of convergence of iterative processes which involve \(T\) and compares the analysis based on \(W(T)\) with the analysis based on the spectral radius \(\rho(T)\) of \(T\)
openaire   +2 more sources

3D In Vitro Models of Breast Cancer: Current Challenges and Future Prospects Toward Recapitulating the Microenvironment and Mimicking Key Processes

Advanced Biology, EarlyView.
In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins, Ah Joung Yu, Cheryl T. Gomillion   +2 more
wiley   +1 more source

An iteration method for calculation with Laurent series [PDF]

, 1946
Hans Rademacher, I. J. Schoenberg
openalex   +1 more source