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

Hone Jay Chu, Liang Cheng Chang

Research output: Contribution to journalArticle

32 Citations (Scopus)

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
Publication statusPublished - 2009 Jan 1

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Water Science and Technology

Fingerprint Dive into the research topics of 'Application of optimal control and fuzzy theory for dynamic groundwater remediation design'. Together they form a unique fingerprint.

  • Cite this