Approximate dynamic programming based approach to process control and scheduling

Multi-stage decision problems under uncertainty are abundant in process industries. Markov decision process (MDP) is a general mathematical formulation of such problems. Whereas stochastic programming and dynamic programming are the standard methods to solve MDPs, their unwieldy computational requir...

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Vydané v:	Computers & chemical engineering Ročník 30; číslo 10; s. 1603 - 1618
Hlavní autori:	Lee, Jay H., Lee, Jong Min
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 12.09.2006
Predmet:	Approximate dynamic programming Function approximation Markov decision process Function approximation Markov decision process Approximate dynamic programming
ISSN:	0098-1354, 1873-4375
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