Application of optimal control and fuzzy theory for dynamic groundwater remediation design

Hone Jay Chu, Liang-Jeng Chang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Obtaining optimal solutions for time-varying groundwater remediation design is a challenging task. A novel procedure first employs input/output data sets obtained by constrained differential dynamic programming (CDDP). Then the Adaptive-Network-Based Fuzzy Inference System (ANFIS), which is a fuzzy inference system (FIS) implemented in the adaptive network framework, is applied to acquire time-varying pumping rates. Results demonstrate that the FIS is an efficient way of groundwater remediation design.

Original languageEnglish
Pages (from-to)647-660
Number of pages14
JournalWater Resources Management
Volume23
Issue number4
DOIs
StatePublished - 1 Jan 2009

Keywords

  • ANFIS
  • CDDP
  • Groundwater
  • Remediation design

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