Volume 7 Number 10 (Oct. 2012)
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JSW 2012 Vol.7(10): 2223-2228 ISSN: 1796-217X
doi: 10.4304/jsw.7.10.2223-2228

Parameter Turning of PID Controller Based on Molecular Beacon DNA Computing

Yourui Huang, Xiaomin Tian, and Jing Wang

Anhui University of Science and Technology, Huainan, China

Abstract—Molecular beacon deoxyribonucleic acid computing is new research focus of intelligent control theory in recent years, it is also new bionic algorithm. It is well known that a very important problem how to determine or tune the proportional integral derivative controller parameters, because these parameters have a great influence on the stability and the performance of the control system. Parameter turning of proportional integral derivative controller by using molecular beacon deoxyribonucleic acid computing can avoid system earlyripe and find global optimal solution rapidly. Molecular beacon is a single strand of deoxyribonucleic acid base pairs formed their own part of the hairpin-like fluorescent probes, the use of molecular beacon can readily detect the concentration of deoxyribonucleic acid molecule which matching with it in test tube, the result of detection can decide which need to be copied and which need to be discarded. The molecular beacon deoxyribonucleic acid computing has high reliability and easy operation for proportional integral derivative controller parameter tuning. The result of simulation proves that molecular beacon deoxyribonucleic acid computing algorithm has distinct advantages than traditional algorithm. molecular beacon deoxyribonucleic acid computing is bound to has very great impact on intelligent control in the future.

Index Terms—Deoxyribonucleic acid computing, Molecular beacon, PID controller, base pairing, parameter tuning

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Cite: Yourui Huang, Xiaomin Tian, and Jing Wang, "Parameter Turning of PID Controller Based on Molecular Beacon DNA Computing," Journal of Software vol. 7, no. 10, pp. 2223-2228, 2012.

General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Quarterly

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, EBSCO,
           CNKIGoogle Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: jsweditorialoffice@gmail.com

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