Extreme-ANFIS: A novel learning approach for inverse model control of nonlinear dynamical systems. Jagtap, P., Raut, P., Pillai, G. N., Kazi, F., & Singh, N. In 2015 International Conference on Industrial Instrumentation and Control (ICIC), pages 718–723, Pune, India, May, 2015. IEEE. Paper doi abstract bibtex The paper proposes a novel, simple and faster learning approach named `Extreme-ANFIS' to tune premise and consequent parameters of Takagi-Sugeno Fuzzy Inference System (TS-FIS). Further the Extreme-ANFIS is used to design inverse model of nonlinear dynamical system. In this paper, the product concentration of non-isothermal Continuous Stirred Tank Reactor (CSTR) is controlled effectively by controlling inlet reactant temperature by using the Extreme-ANFIS based inverse model control technique. The effectiveness of proposed controller is verified by simulating it in MATLAB and comparing with conventional PID control.
@inproceedings{jagtap_extreme-anfis:_2015,
address = {Pune, India},
title = {Extreme-{ANFIS}: {A} novel learning approach for inverse model control of nonlinear dynamical systems},
copyright = {CC0 1.0 Universal Public Domain Dedication},
isbn = {978-1-4799-7165-7},
shorttitle = {Extreme-{ANFIS}},
url = {http://ieeexplore.ieee.org/document/7150836/},
doi = {10.1109/IIC.2015.7150836},
abstract = {The paper proposes a novel, simple and faster learning approach named `Extreme-ANFIS' to tune premise and consequent parameters of Takagi-Sugeno Fuzzy Inference System (TS-FIS). Further the Extreme-ANFIS is used to design inverse model of nonlinear dynamical system. In this paper, the product concentration of non-isothermal Continuous Stirred Tank Reactor (CSTR) is controlled effectively by controlling inlet reactant temperature by using the Extreme-ANFIS based inverse model control technique. The effectiveness of proposed controller is verified by simulating it in MATLAB and comparing with conventional PID control.},
urldate = {2018-11-01TZ},
booktitle = {2015 {International} {Conference} on {Industrial} {Instrumentation} and {Control} ({ICIC})},
publisher = {IEEE},
author = {Jagtap, Pushpak and Raut, Pranoti and Pillai, G. N. and Kazi, Faruk and Singh, N.M.},
month = may,
year = {2015},
pages = {718--723}
}
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