Approximate Dynamic Programming in Tracking Control of a Robotic Manipulator
International Journal of Advanced Robotic Systems, 2016 This article focuses on the implementation of an approximate dynamic programming algorithm in the discrete tracking control system of the three-degrees of freedom Scorbot-ER 4pc robotic manipulator.
Marcin Szuster, Piotr Gierlak
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Performance Guarantees of Recurrent Neural Networks for the Subset Sum Problem [PDF]
BiomimeticsThe subset sum problem is a classical NP-hard problem. Various methods have been developed to address this issue, including backtracking techniques, dynamic programming approaches, branch-and-bound strategies, and Monte Carlo methods.
Zengkai Wang +3 more
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Algorithms of approximate dynamic programming for hydro scheduling [PDF]
E3S Web of Conferences, 2020 In hydro scheduling, unit commitment is a complex sub-problem. This paper proposes a new approximate dynamic programming technique to solve unit commitment.
Parvez Iram, Shen Jianjian
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Contested logistics simulation output analysis with approximate dynamic programming: a proposed methodology [PDF]
Journal of Defense Analytics and Logistics, 2022 Purpose – Rapid sensitivity analysis and near-optimal decision-making in contested environments are valuable requirements when providing military logistics support.
Matthew Powers, Brian O'Flynn
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Markdown Optimization via Approximate Dynamic Programming [PDF]
International Journal of Computational Intelligence Systems, 2013 We consider the markdown optimization problem faced by the leading apparel retail chain. Because of substitution among products the markdown policy of one product affects the sales of other products. Therefore, markdown policies for product groups having
Özlem Coşgun +2 more
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An approximate dynamic programming method for unit-based small hydropower scheduling
Frontiers in Energy Research, 2022 Hydropower will become an important power source of China’s power grids oriented to carbon neutral. In order to fully exploit the potential of water resources and achieve low-carbon operation, this paper proposes an approximate dynamic programming (ADP ...
Yueyang Ji, Hua Wei
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A review of approximate dynamic programming applications within military operations research
Operations Research Perspectives, 2021 Sequences of decisions that occur under uncertainty arise in a variety of settings, including transportation, communication networks, finance, defence, etc.
M. Rempel, J. Cai
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A linear programming methodology for approximate dynamic programming
International Journal of Applied Mathematics and Computer Science, 2020 The linear programming (LP) approach to solve the Bellman equation in dynamic programming is a well-known option for finite state and input spaces to obtain an exact solution.
Díaz Henry +2 more
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Output‐feedback stochastic model predictive control of chance‐constrained nonlinear systems
IET Control Theory & Applications, 2023 This study covers the output‐feedback model predictive control (MPC) of nonlinear systems subjected to stochastic disturbances and state chance constraints. The stochastic optimal control problem is solved in a stochastic dynamic programming fashion, and
Jingyu Zhang, Toshiyuki Ohtsuka
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Volume-weighted Bellman error method for adaptive meshing in approximate dynamic programming
Revista Iberoamericana de Automática e Informática Industrial RIAI, 2021 Optimal control and reinforcement learning have an associate “value function” which must be suitably approximated. Value function approximation problems usually have different precision requirements in different regions of the state space.
Leopoldo Armesto, Antonio Sala
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