Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration
In this study, an on-line tuning method is proposed for fuzzy PID controllers via rule
weighing. The rule weighing mechanism is a fuzzy rule base with two inputs namely;“error” …
weighing. The rule weighing mechanism is a fuzzy rule base with two inputs namely;“error” …
A simple design method for interval type-2 fuzzy PID controllers
T Kumbasar - Soft Computing, 2014 - Springer
In this study, a design method for single Input interval type-2 fuzzy PID controller has been
developed. The most important feature of the proposed type-2 fuzzy controller is its simple …
developed. The most important feature of the proposed type-2 fuzzy controller is its simple …
Modelling and predictive control of a neutralisation reactor using sparse support vector machine Wiener models
M Ławryńczuk - Neurocomputing, 2016 - Elsevier
This paper has two objectives:(a) it describes the problem of finding a precise and
uncomplicated model of a neutralisation process,(b) it details development of a nonlinear …
uncomplicated model of a neutralisation process,(b) it details development of a nonlinear …
Type-2 fuzzy model based controller design for neutralization processes
In this study, an inverse controller based on a type-2 fuzzy model control design strategy is
introduced and this main controller is embedded within an internal model control structure …
introduced and this main controller is embedded within an internal model control structure …
[HTML][HTML] Corrosion risk analysis of tube-and-shell heat exchangers and design of outlet temperature control system
HZ Jin, Y Gu, GF Ou - Petroleum Science, 2021 - Elsevier
This study deals with the high-risk shell-and-tube heat exchangers in the effluent system of
hydrogenation reaction of the petrochemical industry. The process of hydroprocessing …
hydrogenation reaction of the petrochemical industry. The process of hydroprocessing …
Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm
The use of inverse system model as a controller might be an efficient way in controlling non-
linear systems. It is also a known fact that fuzzy logic modeling is a powerful tool in …
linear systems. It is also a known fact that fuzzy logic modeling is a powerful tool in …
A practically implementable reinforcement learning control approach by leveraging offset-free model predictive control
This work addresses the problem of designing an offset-free implementable reinforcement
learning (RL) controller for nonlinear processes. RL-based controllers can update the …
learning (RL) controller for nonlinear processes. RL-based controllers can update the …
Adaptive type-2 fuzzy controller for nonlinear delay dominant MIMO systems: an experimental paradigm in LabVIEW
MK Chakravarthi, N Venkatesan - International Journal of …, 2018 - inderscienceonline.com
Higher order nonlinear systems with prevailing delay have been very challenging in
significance with stability and process performance. This paper investigates the performance …
significance with stability and process performance. This paper investigates the performance …
Interval type-2 fuzzy inverse controller design in nonlinear IMC structure
In the recent years it has been demonstrated that type-2 fuzzy logic systems are more
effective in modeling and control of complex nonlinear systems compared to type-1 fuzzy …
effective in modeling and control of complex nonlinear systems compared to type-1 fuzzy …
Treatment of Spent Pickling Acid from Stainless Steel Production: A review of regeneration technologies with focus on the neutralisation process for implementation in …
L Dahlgren - 2010 - diva-portal.org
Pickling is a unit operation within stainless steel production, which means treating the steel
with hydrofluoric acid (HF) and nitric acid (HNO3), also called mixed acid. The whole …
with hydrofluoric acid (HF) and nitric acid (HNO3), also called mixed acid. The whole …