Výsledky vyhľadávania - state-space approximate dynamic programming algorithm

Stochastic optimal dispatch of PV/wind/diesel/battery microgrids using state-space approximate dynamic programming Autor Lin, Shunjiang, Wang, Yaping, Liu, Mingbo, Fan, Guansheng, Yang, Zhibin, Li, Qifeng

“…) model to reduce the computational complexity. The state-space approximate dynamic programming algorithm is adopted…”
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Stochastic optimal dispatch of offshore-onshore regional integrated energy system based on improved state-space approximate dynamic programming Autor Pan, Yue, Lin, Shunjiang, Liang, Weikun, Feng, Xiangyong, Sheng, Xuan, Liu, Mingbo

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Stochastic Optimal Dispatch of Integrated Energy Campus Microgrids Considering the Time-Delay of Pipelines Autor Liang, Weikun, Lin, Shunjiang, Sheng, Xuan, Tang, Zhiqiang

“… The State-space approximate dynamic programming (SS-ADP) algorithm is adopted to solve the stochastic optimal dispatch model…”
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Insect pest control, approximate dynamic programming, and the management of the evolution of resistance Autor Hackett, Sean C., Bonsall, Michael B.

“… Dynamic programming is an ideal method for optimally solving such problems but agricultural problems are often subject to additional complexities that produce state spaces intractable to exact solutions…”
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Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization Autor Chen, Ying, Liu, Feng, Rosenberger, Jay M., Chen, Victoria C.P., Kulvanitchaiyanunt, Asama, Zhou, Yuan

“…•A sequential sampling algorithm for the infinite-horizon approximate dynamic programming is proposed…”
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Data mining for state space orthogonalization in adaptive dynamic programming Autor Ariyajunya, Bancha, Chen, Ying, Chen, Victoria C.P., Kim, Seoung Bum

“…•Data mining techniques are employed to orthogonalize a multicollinear state space…”
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A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs Autor Haskell, William B., Jain, Rahul, Sharma, Hiteshi, Yu, Pengqian

“…) algorithms for Markov decision processes. The "empirical" nature comes from each iteration being done empirically from samples available from simulations of the next state…”
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State-space approximate dynamic programming for stochastic unit commitment Autor Weihong Zhang, Nikovski, Daniel

“… In this paper we propose a state space approximate dynamic programming algorithm to solve such models…”
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Addressing state space multicollinearity in solving an ozone pollution dynamic control problem Autor Ariyajunya, Bancha, Chen, Ying, Chen, Victoria C.P., Kim, Seoung Bum, Rosenberger, Jay

“…•State space multicollinearity in approximate dynamic programming is described.•The negative impact of ignoring state space multicollinearity is illustrated…”
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Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming Autor Forghieri, Orso, Castel, Hind, Hyon, Emmanuel, Pennec, Erwan Le

“…High dimensionality of model-based Reinforcement Learning and Markov Decision Processes can be reduced using abstractions of the state and action spaces…”
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A fully adaptive framework for continuous-state stochastic dynamic programming Autor Fan, Huiyuan, Tarun, Prashant K., Viswanatha, Amith, Chen, Victoria C.P.

“…Approximate dynamic programming (ADP) carries out approximation of the future value function (FVF…”
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Metalearning of time series: an approximate dynamic programming approach Autor Collado, Ricardo A., Creamer, Germán G.

“…A new approximate dynamic programming algorithm applied to time series forecasting…”
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Decentralized Event-Triggered Adaptive Dynamic Programming Approach for Electric-Gas Coupling Energy Systems With Partially Unknown Dynamics Autor Su, Hanguang, Liu, Fan, Zhang, Huaguang, Sun, Qiuye, Zhang, Dongyuan, Wang, Jiawei

“… event-triggered mechanism and adaptive dynamic programming techniques. Initially, the complex electric-gas coupling network is modeled in the state-space form…”
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Management of a stage-structured insect pest: an application of approximate optimization Autor Hackett, Sean C., Bonsall, Michael B.

“… Approximate dynamic programming (ADP) provides a suite of methods applicable to problems of arbitrary complexity at the expense of guaranteed optimality…”
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Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis Autor Wei, Qinglai, Liu, Derong, Lin, Qiao

“…In this paper, a novel local value iteration adaptive dynamic programming (ADP) algorithm is developed to solve infinite horizon optimal control problems for discrete-time nonlinear systems…”
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Detection of Multiple Structural Breaks in Large Covariance Matrices Autor Li, Yu-Ning, Li, Degui, Fryzlewicz, Piotr

“…This article studies multiple structural breaks in large contemporaneous covariance matrices of high-dimensional time series satisfying an approximate factor model…”
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Specialized Interior-Point Algorithm for Stable Nonlinear System Identification Autor Umenberger, Jack, Manchester, Ian R.

“… Recently Lagrangian relaxation has been proposed as a method to approximate simulation fidelity and guarantee stability via semidefinite programming (SDP…”
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Perspectives of approximate dynamic programming Autor Powell, Warren B.

“…Approximate dynamic programming has evolved, initially independently, within operations research, computer science and the engineering controls community, all searching for practical tools for solving…”
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Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Convergence Analysis Autor Wei, Qinglai, Lewis, Frank L., Liu, Derong, Song, Ruizhuo, Lin, Hanquan

“…In this paper, convergence properties are established for the newly developed discrete-time local value iteration adaptive dynamic programming (ADP) algorithm…”
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Discrete-Time Optimal Control via Local Policy Iteration Adaptive Dynamic Programming Autor Wei, Qinglai, Liu, Derong, Lin, Qiao, Song, Ruizhuo

“…In this paper, a discrete-time optimal control scheme is developed via a novel local policy iteration adaptive dynamic programming algorithm…”
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