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Block-Structured Models Composed of Nonlinear Fuzzy Dynamic and Static Parts – a Case Study

Piotr Bazydło, Piotr Marusak
2018 Journal of Automation, Mobile Robotics & Intelligent Systems  
The paper addresses issues of the dynamic fuzzy Takagi-Sugeno models identification for multi-step ahead prediction.  ...  In the case of highly nonlinear models, standard Takagi-Sugeno models may be hard to identify if they should be designed for recurrent prediction generation.  ...  An example of the nonlinear dynamic model is a model based on fuzzy Takagi-Sugeno (TS) fuzzy system [14] . This model is based on fuzzy membership functions and local linear models.  ... 
doi:10.14313/jamris_1-2018/7 fatcat:bie4dvjmwvarpgk5f6uwn6ylem

Design and Stability Analysis of Fuzzy Model-based Predictive Control – A Case Study

Sašo Blažič, Igor Škrjanc
2007 Journal of Intelligent and Robotic Systems  
In the paper a fuzzy model based predictive control algorithm is presented.  ...  Fuzzy model-based predictive control is potentially interesting in the case of batch reactors, heat-exchangers, furnaces and all the processes with strong nonlinear dynamics and high transport delays.  ...  Acknowledgements The work was done in the frame of the bilateral project between France and Slovenia, Multivariable predictive control, FR-2002-1.  ... 
doi:10.1007/s10846-007-9147-8 fatcat:s6l647xm45gfvale6w6kvlr3ni

Fuzzy–neural Model Predictive Control of Multivariable Processes [chapter]

Michail Petrov, Sevil Ahmed, Alexander Ichtev, Albena Tanev
2011 Advanced Model Predictive Control  
The authors would like to acknowledge the Ministry of Education and Science of Bulgaria, Research Fund project BY-TH-108/2005.  ...  Case study The case study is implemented in MATLAB/Simulink ® environment with Inteco ® Multi tank system.  ...  Model predictive control is successfully applied to the studied multi tank system, which represents a multivariable controlled process.  ... 
doi:10.5772/16828 fatcat:wxvy7ysj3vfmhbgm5dwwmic26u

Expert System Models for Forecasting Forklifts Engagement in a Warehouse Loading Operation: A Case Study

Dejan Mirčetić, Nebojša Ralević, Svetlana Nikoličić, Marinko Maslarić, Đurđica Stojanović
2016 Promet (Zagreb)  
As a case study, a central warehouse of a beverage company was used.  ...  Different ML models are evaluated and adaptive neuro fuzzy inference system (ANFIS) and classification and regression trees (CART) are chosen as the ones which have shown best results for the research  ...  ANFIS structure with Takagi & Sugeno inference was first presented by Jang [21] , and it represents a combination of neural networks and fuzzy logic.  ... 
doi:10.7307/ptt.v28i4.1900 fatcat:flbnowjhxbgmdpwfxcgc7wrht4

Regulation of water resources systems using fuzzy logic: a case study of Amaravathi dam

P. V. P. Moorthi, Ajit Pratap Singh, P. Agnivesh
2018 Applied Water Science  
Finally, the model is applied to a practical case study in order to demonstrate effectiveness of the proposed logic.  ...  Therefore, this paper deals with regulation of water resources system based on "if-then" fuzzy logic-based rules which interlinks concepts of interpolative reasoning, logical implications and certain inference  ...  The study has delineated the optimal outflow on the basis of three common methods for deductive inference of fuzzy rule-based system: Mamdani method, Sugeno models and Tsukamoto models.  ... 
doi:10.1007/s13201-018-0777-8 fatcat:2zp7nccrevcjhfznjjvjummuai

Mathematical Modelling of Batch Distillation Columns: A Comparative Analysis of Non-Linear and Fuzzy Models [chapter]

Adriana del Carmen Téllez-Anguiano, Mario Heras-Cervantes, Juan Anzurez-Marín, Gerardo Marx Chávez-Campos, José Antonio Gutiérrez Gnecchi
2017 Distillation - Innovative Applications and Modeling  
This chapter presents a general panorama of the mathematical modelling of distillation columns, having as a specific case of study the comparison of a space-state non-linear model and a Takagi-Sugeno fuzzy  ...  , especially its thermal behaviour, in order to enhance the control and safety of the process.  ...  The Takagi-Sugeno fuzzy model is a useful tool to model and control complex systems based on the concept of decomposing a non-linear model in a multi-model structure formed by linear models not necessarily  ... 
doi:10.5772/66760 fatcat:f6x7d5a7xfcajp6ackk7ydwrxa

Estimation of organic facies using ensemble methods in comparison with conventional intelligent approaches: a case study of the South Pars Gas Field, Persian Gulf, Iran

Reza Farzi, Vahid Bolandi
2016 Modeling Earth Systems and Environment  
Current study implements ensemble algorithms as a new method in geoscience data appraisal in comparison with conventional intelligent systems.  ...  One of the most important factors manipulating the source potential evaluation is considered to be total organic carbon (TOC). Since no TOC no source rock will be found in the area.  ...  Acknowledgments The authors appreciate Pars Oil and Gas Company (POGC) of Iran for financial support, data preparation and permission to publish this paper.  ... 
doi:10.1007/s40808-016-0165-z fatcat:45hh55eg3narjkelmplaswvfyq

Application of Fuzzy Model Predictive Control in Multivariable Control of Distillation Column

R. Sivakumar, K. Suresh Manic, V. Nerthiga, R. Akila, K. Balu
2010 International journal of chemical Engineering and Applications  
This method is based on piecewise linear fuzzy model of the process to be controlled, which is used for predicting the outputs.  ...  The results confirmed the potentials of the proposed strategy of piecewise linear fuzzy control. Index Terms-Distillation column, MIMO systems, Model Predictive Control, Takagi-Sugeno fuzzy model.  ...  Takagi and Sugeno fuzzy models are suitable to model a complex system.  ... 
doi:10.7763/ijcea.2010.v1.7 fatcat:fdkgcsnijzg6xfdu4lmq4c6tzy

On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models

T.A. Johansen, R. Shorten, R. Murray-Smith
2000 IEEE transactions on fuzzy systems  
Ideally, it is desirable that a dynamic Takagi-Sugeno fuzzy model should give accurate global nonlinear prediction and at the same time that its local models are close approximations to the local linearizations  ...  Dynamic Takagi-Sugeno fuzzy models are not always easy to interpret, in particular when they are identified from experimental data.  ...  The Takagi-Sugeno fuzzy model has recently found wide applicability in fuzzy model based control, e.g., [4] , [9] , [27] , [35] , [36] .  ... 
doi:10.1109/91.855918 fatcat:jqnma2ocu5darkvhevhvtpn3re

Sustainable Production in Cement via Artificial Intelligence based Decision Support System: Case Study

Kübra Tümay Ateş, Cenk Şahin, Yusuf Kuvvetli, Bülent A. Küren, Aykut Uysal
2021 Case Studies in Construction Materials  
Prediction abilities of artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS) are investigated for the decision support system.  ...  The paper aims to develop a decision support system for the prediction of activity index of granulated blast furnace slag at 28 days.  ...  Acknowledgments This work is a product of a collaboration between Cukurova University and Oyak Cement Company.  ... 
doi:10.1016/j.cscm.2021.e00628 fatcat:pzoi4m2srzcpdguqdgusjwbtsy

A Takagi-Sugeno Fuzzy System for the Prediction of River Stage Dynamic

Muhammad AQIL, Ichiro KITA, Akira YANO, Soichi NISHIYAMA
2006 JARQ - Japan Agricultural Research Quarterly  
The numerical results of the Takagi-Sugeno fuzzy modeling method were compared with the results of a conventional linear regression model.  ...  The Takagi-Sugeno fuzzy system was able to make a proper fuzzy rule from the training data set, which might be considered as one of the main drawbacks of the Takagi-Sugeno fuzzy system.  ...  In a special way the authors wish to acknowledge the assistance of Mr. Andri Sewoko in providing the data on which this research was based.  ... 
doi:10.6090/jarq.40.369 fatcat:f3eriypnrzfzzaxaczu5qhk5wi

Modeling and predictive control using fuzzy logic: Application for a polymerization system

Nádson M. N. Lima, Lamia Zuñiga Liñan, Rubens Maciel Filho, Maria R. Wolf Maciel, Marcelo Embiruçu, Filipe Grácio
2009 AIChE Journal  
Validation of the fuzzy models. Figure 7. Response of output variables to inhibitor disturbance, with temperature control only. 974  ...  Acknowledgments The authors acknowledge FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo) and CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico) for their financial support  ...  In this study, a predictive control system based on type Takagi-Sugeno fuzzy models was developed for a polymerization process.  ... 
doi:10.1002/aic.12030 fatcat:ci6nevwukjaw3nmsvpxiqeqweu

Fuzzy Logic Modeling and Observers Applied to Estimate Compositions in Batch Distillation Columns [chapter]

Mario Heras-Cervantes, Gerardo Marx Chávez-Campos, Héctor Javier Vergara Hernández, Adriana del Carmen Téllez-Anguiano, Juan Anzurez-Marin, Elisa Espinosa-Juárez
2019 Distillation - Modelling, Simulation and Optimization [Working Title]  
In this chapter, the analysis and design of a fuzzy observer based on a Takagi-Sugeno model of a batch distillation column are presented.  ...  The Takagi-Sugeno fuzzy model is based on eight linear subsystems determined by three premise variables: the opening percentage of the reflux valve and the liquid molar composition of the light element  ...  17 Fuzzy Logic Modeling and Observers Applied to Estimate Compositions in Batch Distillation… DOI:  ... 
doi:10.5772/intechopen.83479 fatcat:cjukxgy6trftngfvy6sxnlk544

Decentralized stable and robust fault-tolerant PI plus fuzzy control of MIMO systems: a quadruple tank case study

Himanshukumar R. Patel, Vipul A. Shah
2019 International Journal on Smart Sensing and Intelligent Systems  
We also present some basic aspects of decentralized control design concerning stability and performance and illustrate them on a case study: a virtual model of a quadruple tank process.  ...  The controllers are designed based on a conventional PI controller plus fuzzy inference system technique.  ...  The authors are also immensely grateful to reviewers for their comments on an earlier version of the manuscript, although any errors are of the authors' own and should not tarnish the reputations of these  ... 
doi:10.21307/ijssis-2019-004 fatcat:pgifqa4vorfpblv2akizrxx42a

Online Multivariable Identification of a MIMO Distillation Column Using Evolving Takagi-Sugeno Fuzzy Model

Molazem Sanandaji Borhan, Salahshoor Karim
2006 2007 Chinese Control Conference  
In this paper, an evolving Takagi-Sugeno (eTS) fuzzy model has been utilized for online identification of a multi-input, multi-output (MIMO) distillation column.  ...  In this approach, the rule-base structure and the model parameters of the consequent parts of fuzzy IF-THEN rules gradually evolve during the online identification process.  ...  Then we come to the concept of Evolving Takagi-Sugeno (eTS) fuzzy models [4, 9] . In eTS, the potential of the new data sample is used as a trigger to update the rule-base.  ... 
doi:10.1109/chicc.2006.4347522 fatcat:bn76pieytramrompshnepjqxa4
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