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A Computational Method for Stochastic Optimal Control Problems in Financial Mathematics

Asian Journal of Control, 2015
AbstractPrinciple of optimality or dynamic programming leads to derivation of a partial differential equation (PDE) for solving optimal control problems, namely the Hamilton‐Jacobi‐Bellman (HJB) equation. In general, this equation cannot be solved analytically; thus many computing strategies have been developed for optimal control problems.
Kafash, Behzad   +2 more
openaire   +2 more sources

Optimized Backstepping Tracking Control Using Reinforcement Learning for a Class of Stochastic Nonlinear Strict-Feedback Systems

IEEE Transactions on Neural Networks and Learning Systems, 2023
Guoxing Wen, Liguang Xu, Bin Li
exaly  

A Novel Adaptive NN Prescribed Performance Control for Stochastic Nonlinear Systems

IEEE Transactions on Neural Networks and Learning Systems, 2021
Shuai Sui, C P Chen, Shaocheng Tong
exaly  

On Lagrangian stochastic methods for turbulent polydisperse two-phase reactive flows

Progress in Energy and Combustion Science, 2015
Jean-Pierre Minier
exaly  

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