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RISNucleon/nuclei polarized structure function, using Jacobi polynomials expansion
of the fitting, we employ the Jacobi orthogonal polynomials expansion. It will be
possible to extract the polarized structure functions for Helium, using the convolution of the nucleon polarized
structure functions with the light cone moment...
Next-to-next-to-leading order QCD analysis of spin-dependent parton distribution functions and their uncertainties: Jacobi polynomials approach
We present a first QCD analysis of next-to-next-leading-order (NNLO) contributions of the spin-dependent parton distribution functions (PPDFs) in the nucleon and their uncertainties using the Jacobi polynomial approach. Having the NNLO contributions...
SOLVING HAMILTON-JACOBI-BELLMAN EQUATION USING VARIATIONAL ITERATION METHOD
Abstract. This paper presents an analytical approximate solution for
nonlinear Hamilton-Jacobi-Bellman (HJB) equation. The proposed method
involves the well-known Variational Iteration Method (VIM), for solving
the HJB equation...
Function theory and spectral mapping theorems for antilinear operators
A novel on stochastic linear quadratic optimal control problems control problems
Control theory is a mathematical description of how to act optimally to gain future rewards. In this paper we give an introduction to deterministic and stochastic control theory; partial observability , learning ...
Feedback controller design for linear and a class of nonlinear optimal control problems
Hamilton–Jacobi–Bellman equation. By using the finite iterations of PTVIM, an analytic
approximate solution for value function and suboptimal feedback control law is obtained. Some illustrative
examples are employed to demonstrate the accuracy...
In-vitro evaluation of physiological controller response of rotary blood pumps to changes in patient state
A similarity measuring service for SNOMED-CT: Structural analysis of concepts in ontology
Reinforcement learning and neural networks for multi-agent nonzero-sum games of nonlinear constrained-input systems
This paper presents an online adaptive optimal control method based on reinforcement learning to solve the multi-agent nonzero-sum (NZS) differential games of nonlinear constrained-input continuous-time systems. A non-quadratic ...