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Adaptive Control of Poverty Dynamics

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2017, Master of Science, Ohio State University, Electrical and Computer Engineering.
Adaptive control methods, FMRLC and indirect adaptive neural network, are analyzed in this thesis as the financial adviser to help poor people gain certain amount of savings. After introducing two types of financial dynamic models with respect to different development levels, we implemented both methods to help people decide how much to spend and save everyday in order to reach their financial goals. With simulation results, the thesis shows that the individual who follows the decision made by the controller successfully achieves their financial goal within an expected time period. At the end, the performance of both methods are compared to each other, with the discussion about the advantage and disadvantage of each method, and possible works could be done in the future.
Kevin Passino (Advisor)
Lisa Fiorentini (Committee Member)
Abhishek Gupta (Other)
30 p.

Recommended Citations

Citations

  • Tang, J. (2017). Adaptive Control of Poverty Dynamics [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492449938477326

    APA Style (7th edition)

  • Tang, Jiacheng. Adaptive Control of Poverty Dynamics. 2017. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1492449938477326.

    MLA Style (8th edition)

  • Tang, Jiacheng. "Adaptive Control of Poverty Dynamics." Master's thesis, Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492449938477326

    Chicago Manual of Style (17th edition)