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

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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.

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Authors and Affiliations

  1. Department of Civil Engineering, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, Taiwan, 30050, Republic of China

    Hone-Jay Chu & Liang-Cheng Chang

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  1. Hone-Jay Chu
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  2. Liang-Cheng Chang
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Correspondence to Liang-Cheng Chang.

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Chu, HJ., Chang, LC. Application of Optimal Control and Fuzzy Theory for Dynamic Groundwater Remediation Design. Water Resour Manage 23, 647–660 (2009). https://doi.org/10.1007/s11269-008-9293-1

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  • DOI: https://doi.org/10.1007/s11269-008-9293-1

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