文章基本信息

标题：Optimal control of a large dam using time-inhomogeneous Markov chains with an application to flood control
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作者：Daniel McInnes ; Boris Miller
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：3499-3504
DOI：10.1016/j.ifacol.2017.08.936
语种：English
出版社：Elsevier
摘要：AbstractWe consider a decision making framework for a dam modelled by a controllable time-inhomogeneous Markov chain with a compound Poisson process as an input, which approximates the inflow pattern of real dams with seasonal rainfall. The controls are responsible for output flow explicitly and implicitly via a price on water consumption. We consider the problem with system balance and demand shortfall performance criteria under constraints. The state space of the dam is discretized while the time domain remains continuous. We also add a controllable water release to reduce the probability of the dam overflowing and give the procedure for determining if an optimal solution exists by showing the consistency of constraints.
关键词：Keywordsstochastic controlmodelling for control optimisationadaptive controlcontrol of networksmanagement of natural resources