Results 171 to 180 of about 4,288,634 (382)
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
A Darboux, Baire one fixed point problem
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Humke, P. D., Svetic, R. E., Weil, C. E.
openaire +2 more sources
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 +4 more
wiley +1 more source
The Split Common Fixed Point Problem for Directed Operators. [PDF]
Censor Y, Segal A.
europepmc +1 more source
An iterative algorithm by viscosity approximation method for mixed equilibrium problems, variational inclusion and fixed point of an infinite family of pseudo-contractive mappings [PDF]
Phayap Katchang, Poom Kumam
openalex +1 more source
A. Taiwo, L. Jolaoso, O. Mewomo
semanticscholar +1 more source
Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems
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
Problems and methods of the fixed points of the maximum principle
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
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
Parallel projection methods for variational inequalities involving common fixed point problems [PDF]
Dang Van Hieu
openalex +1 more source

