Filling Control of a Conical Tank Using a Compact Neuro-Fuzzy Adaptive Control System
This document describes the implementation of a conical tank control system using an adaptive neurofuzzy system. For implementation, an indirect approach is used where the controller is optimized using the model obtained during the plant identification carried out using data obtained during the syst...
Saved in:
| Main Authors: | Helbert Espitia-Cuchango, Iván Machón-González, Hilario López-García |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/4284378 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Feedforward Nonlinear Control Using Neural Gas Network
by: Iván Machón-González, et al.
Published: (2017-01-01) -
Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System
by: Andrea C. Gómez, et al.
Published: (2025-05-01) -
A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System
by: Selvaraj S. P., et al.
Published: (2025-06-01) -
Research of the Adaptive Fuzzy PID Control System of New Type Double Conical Continuously Variable Transmission
by: Li Jingkui, et al.
Published: (2016-01-01) -
Research on Adaptive Variable Impedance Control Method Based on Adaptive Neuro-Fuzzy Inference System
by: Xianlun Wang, et al.
Published: (2025-05-01)