2000
DOI: 10.1016/s0370-1573(99)00116-7
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Hamilton–Jacobi–Bellman framework for optimal control in multistage energy systems

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Cited by 85 publications
(43 citation statements)
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“…[5,7,11,, this paper has further investigated the multistage endoreversible Carnot heat engine system operating between a finite thermal capacity high-temperature fluid reservoir and an infinite thermal capacity low-temperature environment with a generalized heat transfer law [q ∝ (∆(T n )) m ], which includes the generalized convective heat transfer law [q ∝ (∆T ) m ] and the generalized radiative heat transfer law [q ∝ ∆(T n )]. For the fixed initial time and fixed initial temperature of the driving fluid, the continuous Hamilton-Jacobi-Bellman (HJB) equations related to the optimal fluid temperature configurations for maximum power output have been obtained by applying optimal control theory.…”
Section: Resultsmentioning
confidence: 99%
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“…[5,7,11,, this paper has further investigated the multistage endoreversible Carnot heat engine system operating between a finite thermal capacity high-temperature fluid reservoir and an infinite thermal capacity low-temperature environment with a generalized heat transfer law [q ∝ (∆(T n )) m ], which includes the generalized convective heat transfer law [q ∝ (∆T ) m ] and the generalized radiative heat transfer law [q ∝ ∆(T n )]. For the fixed initial time and fixed initial temperature of the driving fluid, the continuous Hamilton-Jacobi-Bellman (HJB) equations related to the optimal fluid temperature configurations for maximum power output have been obtained by applying optimal control theory.…”
Section: Resultsmentioning
confidence: 99%
“…The control variable is T ≡ T 2 T 1 /T 2 , and the inequality T 1 > T 1 > T 2 > T 2 always holds for the heat engine, so one obtains T 2 ≤ T ≤ T 1 . This optimal control problem belongs to a variational problem whose control variable has the constraint of closed set, and the Pontryagin minimum value principle or Bellman's dynamic programming theory may be applied [5,7,11,67,68]. When the state vector dimension of the optimal control problem is small, the numerical optimization conducted by the dynamic programming theory is very efficient.…”
Section: Hjb Equation For the Optimization Problemmentioning
confidence: 99%
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