Application of Optimal Control and Fuzzy Theory for Dynamic Groundwater Remediation Design

Hone-Jay Chu () and Liang-Cheng Chang ()

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2009, vol. 23, issue 4, 647-660

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. Copyright Springer Science+Business Media B.V. 2009

Keywords: CDDP; ANFIS; Remediation design; Ground water (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:23:y:2009:i:4:p:647-660

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DOI: 10.1007/s11269-008-9293-1

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