Add to ORKGThe paper presents design of neuro-fuzzy control and its application in chemical technologies. Our approach to neuro-fuzzy control is a combination of the neural predictive controller and the neuro-fuzzy controller (Adaptive Network-based Fuzzy Inference System - ANFIS). These controllers work in parallel. The output of ANFIS adjusts the output of the neural predictive controller to enhance the control performance. Such design of an intelligent control system is applied to control of the continuous stirred tank reactor and laboratory mixing process
This paper presents a review on application of Artificial Neural Network and Fuzzy Logic in process ...
Abstract: Process changes, such as flow disturbances and sensor noise, are common in the chemical an...
A controller that combines the main characteristics and advantages of three different control method...
The paper presents design of neuro-fuzzy control and its application in chemical technologies. Our a...
Abstract: By continuous improvement of the intelligent control systems achieves more accurate values...
This paper discusses the application of adaptive neuro-fuzzy inference system (ANFIS) control for a ...
[[abstract]]A neural-fuzzy controller is an intelligent system that allows for the combination of qu...
Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for indu...
Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for indu...
Abstract: In this paper a hybrid fuzzy-neuro model based predictive control (HFNMBPC) is addressed, ...
In this paper, intelligent control of a particular Catalytic Continuous Stirred Tank Reactor (CSTR) ...
It is a challenging task to control polymerization reactor due to the complex reactions mechanism. M...
[EN] The neurofuzzy system known as Adaptive Network-based Fuzzy Inference System (ANFIS), is a pion...
This paper presents a review on application of Artificial Neural Network and Fuzzy Logic in process ...
This paper presents a review on application of Artificial Neural Network and Fuzzy Logic in process ...
This paper presents a review on application of Artificial Neural Network and Fuzzy Logic in process ...
Abstract: Process changes, such as flow disturbances and sensor noise, are common in the chemical an...
A controller that combines the main characteristics and advantages of three different control method...
The paper presents design of neuro-fuzzy control and its application in chemical technologies. Our a...
Abstract: By continuous improvement of the intelligent control systems achieves more accurate values...
This paper discusses the application of adaptive neuro-fuzzy inference system (ANFIS) control for a ...
[[abstract]]A neural-fuzzy controller is an intelligent system that allows for the combination of qu...
Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for indu...
Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for indu...
Abstract: In this paper a hybrid fuzzy-neuro model based predictive control (HFNMBPC) is addressed, ...
In this paper, intelligent control of a particular Catalytic Continuous Stirred Tank Reactor (CSTR) ...
It is a challenging task to control polymerization reactor due to the complex reactions mechanism. M...
[EN] The neurofuzzy system known as Adaptive Network-based Fuzzy Inference System (ANFIS), is a pion...
This paper presents a review on application of Artificial Neural Network and Fuzzy Logic in process ...
This paper presents a review on application of Artificial Neural Network and Fuzzy Logic in process ...
This paper presents a review on application of Artificial Neural Network and Fuzzy Logic in process ...
Abstract: Process changes, such as flow disturbances and sensor noise, are common in the chemical an...
A controller that combines the main characteristics and advantages of three different control method...