Differential dynamic programming for estuarine management

Guihua Li, Larry Mays

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Differential dynamic programming (DDP) is applied to solve the estuarine management problem to determine the optimal amount of freshwater inflows into bays and estuaries in order to maximize fishery harvests. The optimization problem is posed as a discrete-time optimal control problem in which salinity represents the state variable and freshwater inflow represents the control variable. The hydrodynamic-salinity transport model HYD-SAL is used as the transition equation. The bound constraints for the control and state variables are incorporated into the objective function using the penalty function method to convert the problem into an unconstrained problem. The Successive Approximation Linear Quadratic Regulator (SALQR) is adopted to solve the computational complexity of the derivatives of the transition equation. The adaptive shift procedure is used to guarantee quadratic convergence of the DDP procedure. To consider the sensitivity of initial solutions, the step search technique of the unconstrained DDP is modified. Computational results indicate that the modified DDP method converges fast and initial values attempted converged to a unique optimal solution. The modified DDP procedure is applied to the Lavaca-Tres Palacios estuary in Texas.

Original languageEnglish (US)
Title of host publicationProceedings of the 21st Annual Conference on Water Policy and
Place of PublicationNew York, NY, United States
PublisherPubl by ASCE
Pages653-656
Number of pages4
ISBN (Print)0784400202
StatePublished - 1994
EventProceedings of the 21st Annual Conference on Water Policy and Management: Solving the Problems - Denver, CO, USA
Duration: May 23 1994May 26 1994

Other

OtherProceedings of the 21st Annual Conference on Water Policy and Management: Solving the Problems
CityDenver, CO, USA
Period5/23/945/26/94

Fingerprint

Dynamic programming
Estuaries
Fisheries
Computational complexity
Hydrodynamics
Derivatives

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Li, G., & Mays, L. (1994). Differential dynamic programming for estuarine management. In Proceedings of the 21st Annual Conference on Water Policy and (pp. 653-656). New York, NY, United States: Publ by ASCE.

Differential dynamic programming for estuarine management. / Li, Guihua; Mays, Larry.

Proceedings of the 21st Annual Conference on Water Policy and. New York, NY, United States : Publ by ASCE, 1994. p. 653-656.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, G & Mays, L 1994, Differential dynamic programming for estuarine management. in Proceedings of the 21st Annual Conference on Water Policy and. Publ by ASCE, New York, NY, United States, pp. 653-656, Proceedings of the 21st Annual Conference on Water Policy and Management: Solving the Problems, Denver, CO, USA, 5/23/94.
Li G, Mays L. Differential dynamic programming for estuarine management. In Proceedings of the 21st Annual Conference on Water Policy and. New York, NY, United States: Publ by ASCE. 1994. p. 653-656
Li, Guihua ; Mays, Larry. / Differential dynamic programming for estuarine management. Proceedings of the 21st Annual Conference on Water Policy and. New York, NY, United States : Publ by ASCE, 1994. pp. 653-656
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