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.
Extreme-ANFIS: A novel learning approach for inverse model control of nonlinear dynamical systems [link]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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