Neuro-Fuzzy Controller forMethanol Recovery Distillation Column

Neuro-Fuzzy Controller forMethanol Recovery Distillation Column

Distillation columns are widely used in chemical processes as separation systems in industries. In order to gain better product quality and lower the energy consumption of the distillation column, an effective control system is needed to allow the process to be operated over larger operating ranges....

Bibliografske podrobnosti
Main Authors:	Safa A. Al-Naimi, Ghydaa M. Jaid
Format:	Article
Jezik:	English
Izdano:	Unviversity of Technology- Iraq 2013-06-01
Serija:	Engineering and Technology Journal
Teme:	distillation conventional feedback artificial neural network adaptive fuzzy logic and pid fuzzy logic
Online dostop:	https://etj.uotechnology.edu.iq/article_82073_6df77898e7bdf2bae67098860305db75.pdf

Podobne knjige/članki

The Dynamic Behavior and Control of Methanol-Toluene Distillation Column
od: Duraid F. Ahmed, et al.
Izdano: (2017-02-01)

The Dynamic Behavior and Control of Methanol-Toluene Distillation Column
od: Duraid F. Ahmed, et al.
Izdano: (2017-02-01)

Neuro-fuzzy Control of Integrating Processes
od: Anna Vasičkaninová, et al.
Izdano: (2011-11-01)

Merekabentuk pengawal fuzzy dalam sistem kawalan tidak liner /
od: 434385 Mohd. Syahril Mohd. Azali, et al.
Izdano: (2007)

Control of inverted pendulum-cart system based on fuzzy logic approach /
od: Hasrulnizam Hashim, 1981-, et al.
Izdano: (2013)

Merekabentuk pengawal fuzzy dalam sistem kawalan tidak liner [electronic resource] /
od: 434385 Mohd. Syahril Mohd. Azali, et al.
Izdano: (2007)

Implementation of fuzzy logic control in coupled - tanks using labview [electronic resource] /
od: 419566 Ng, Lai Kwan, et al.
Izdano: (2007)

Control of inverted pendulum-cart system based on fuzzy logic approach [electronic resource] /
od: Hasrulnizam Hashim, 1981-
Izdano: (2013)

Fuzzy Logic and PID control of a 3 DOF Robotic Arm
od: Korhan Kayışlı, et al.
Izdano: (2017-12-01)

The Dynamic Behavior and Control of Absorption Column
od: Duraid F. Ahmed, et al.
Izdano: (2018-06-01)

Designing fuzzy logic training package /
od: 202400 Norhayati Mohamad Noor
Izdano: (1998)

Modeling and control of a ball and beam system [electronic resource]/
od: 250387 Goh, Poh Geok, et al.
Izdano: (2007)

Modeling and control of a ball and beam system /
od: 250387 Goh, Poh Geok, et al.
Izdano: (2007)

Fuzzy logic prototyping system for path planning-software /
od: 254464 Chong, Wei Sheng
Izdano: (1999)

Energy analysis of air conditioning system using PID and Fuzzy logic controllers /
od: Henry Nasution 252751, et al.
Izdano: (2006)

Implementation of fuzzy logic control in coupled - tanks using labview /
od: 419566 Ng, Lai Kwan, et al.
Izdano: (2007)

INDONESIA PUBLIC BANKS PERFORMANCE EVALUATION USING FUZZY LOGIC
od: Sugiarto Sugiarto, et al.
Izdano: (2016-10-01)

Energy analysis of air conditioning system using PID and Fuzzy logic controllers [compact disc] /
od: Henry Nasution 252751
Izdano: (2006)

Fuzzy-control of an inverted pendulum /
od: 263245 Tan, Yee Ling @ Irene
Izdano: (1999)

ATTITUDE CONTROL OF THE NANOSATELLITE USING A HYBRID FUZZY ALGORITHM BY MEANS OF THE REACTION WHEELS
od: MELNIC, Vladimir
Izdano: (2023-06-01)

Neuro-fuzzy predictive control of an information-poor system
od: Thompson, R, et al.
Izdano: (2002)

DESIGN FUZZY PID CONTROLLER FOR NONLINEAR SYSTEMS
od: Sami Abdulaziz Ali
Izdano: (2017-11-01)

Comparison Between Adaptive Fuzzy and PID Fuzzy Automotive Engine Controllers in Idle Speed Mode
od: Mohammed Y. Hassan, et al.
Izdano: (2010-11-01)

Prediction blood pressure parameter by using neuro-fuzzy model /
od: Mohd. Faizz Fahmi Ariaff, 1983-, et al.
Izdano: (2013)

Autonomous contour tracking industrial robot using neuro fuzzy /
od: Easwandy Saian, 1981-, et al.
Izdano: (2013)

Adaptive Control For Mobile Robots Based On Inteligent Controller
od: Than Thi Thuong, et al.
Izdano: (2024-02-01)

The Dynamic Behavior and Control of Absorption Column
od: Duraid F. Ahmed, et al.
Izdano: (2018-06-01)

Modeling, simulation and control, of two wheeled balancing robot [electronic resource] /
od: 222499 Tan, Teck Han, et al.
Izdano: (2007)

Study of antilock braking system (ABS) - performances of controllers [compact disc] /
od: 285824 Lim, Boon Leng
Izdano: (2005)

Study of antilock braking system (ABS) - performances of controllers /
od: 285824 Lim, Boon Leng
Izdano: (2005)

Modeling, simulation and control, of two wheeled balancing robot /
od: 222499 Tan, Teck Han, et al.
Izdano: (2007)

Automatic generation control via fuzzy logic controller /
od: Mohamad Na'im Mohd. Nasir, 1986-, et al.
Izdano: (2009)

Archimedean-Compensatory Fuzzy Logic Systems
od: Rafael A. Espin-Andrade, et al.
Izdano: (2015-12-01)

Automatic generation control via fuzzy logic controller [electronic resource] /
od: Mohamad Na'im Mohd. Nasir, 1986-
Izdano: (2009)

Prediction blood pressure parameter by using neuro-fuzzy model [electronic resource] /
od: Mohd. Faizz Fahmi Ariaff, 1983-
Izdano: (2013)

Autonomous contour tracking industrial robot using neuro fuzzy [electronic resource] /
od: Easwandy Saian, 1981-
Izdano: (2013)

New developments in neuro-fuzzy control systems /
od: Marzuki Khalid, 1959-2012, et al.
Izdano: (2001)

Improvement of Output Displacement of Servo Pneumatic System using Fuzzy PI Controller
od: Mohammed Y. Hassan, et al.
Izdano: (2009-09-01)

Overshoot Reduction Using Adaptive Neuro-Fuzzy Inference System for an Autonomous Underwater Vehicle
od: Narayan Nayak, et al.
Izdano: (2023-04-01)

Fuzzy implications /
od: 184851 Baczynski, Michal, et al.
Izdano: (2008)