Geodesic
Unstable coupled two-tank problem with a new learning rate using an adaptive online neuro-fuzzy controller
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie, Tome 18 (2025) no. 1, pp. 79-91

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Level control of coupled tank systems with non-linearity and instability is one of important issues in the industry process. Control of unstable systems is a challenging task for industries. In this paper we have controlled unstable water flow in a coupled two tank problem in real plant with disturbances. Here we have implemented the Online Neuro Fuzzy Controller (ONFC) with a new learning rate. The Online Neuro Fuzzy Controller is an adaptive control with a simple structure which is capable of processing non-linear, time-varying, uncertain systems. The efficiency and low computational cost of this technology have enabled successful implementations in many industrial plants. Simulations of a coupled tank system with ONFC are done in Python programming language. The gradient descent method is used to update the parameters.
Keywords: adaptive control, neuro fuzzy controller, coupled tank problem, non-linear system.
Mots-clés : ONFC 
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     title = {Unstable coupled two-tank problem with a new learning rate using an adaptive online neuro-fuzzy controller},
     journal = {Vestnik \^U\v{z}no-Uralʹskogo gosudarstvennogo universiteta. Seri\^a, Matemati\v{c}eskoe modelirovanie i programmirovanie},
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Haribhai R. Kataria; Umme Salma M. Pirzada; Kriti Dheerawat; Anant Kataria. Unstable coupled two-tank problem with a new learning rate using an adaptive online neuro-fuzzy controller. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie, Tome 18 (2025) no. 1, pp. 79-91. http://geodesic.mathdoc.fr/item/VYURU_2025_18_1_a5/