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2021 Index IEEE Transactions on Fuzzy Systems Vol. 29

2021 IEEE transactions on fuzzy systems  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TFUZZ April 2021 861-873 Finite-Time Adaptive Fuzzy Tracking Control for a Class of Nonlinear Sys-Indirect Fuzzy Control of Nonlinear Systems With Unknown Input and State Hysteresis Using an Alternative  ...  ., +, TFUZZ Aug. 2021 2122-2131 Indirect Fuzzy Control of Nonlinear Systems With Unknown Input and State Hysteresis Using an Alternative Adaptive Inverse.  ... 
doi:10.1109/tfuzz.2021.3134727 fatcat:m66dl6wxdbgendhdx4bliy6nky

Page 3642 of Mathematical Reviews Vol. , Issue 99e [page]

1999 Mathematical Reviews  
Two classes of control schemes, namely, switching-type and saturation-type are proposed and an- alyzed. A switching-type robust control is shown to stabilize the T-S fuzzy model asymptotically.  ...  Summary: “In this paper an indirect adaptive regulator is con- structed for single-input single-output linear time-varying discrete- time systems.  ... 

2020 Index IEEE Transactions on Fuzzy Systems Vol. 28

2020 IEEE transactions on fuzzy systems  
., An Optimized Type-2 Self-Organizing Fuzzy Logic Controller Applied in Anesthesia for Propofol Dosing to Regulate BIS; TFUZZ June 2020 1062-1072 Weinstein, A., see Veloz, A., TFUZZ Jan. 2020 100-111  ...  ., +, TFUZZ March 2020 510-522 Indirect Adaptive Fuzzy Control for Nonaffine Nonlinear Pure-Feedback Systems.  ...  ., +, TFUZZ Feb. 2020 333-345 Indirect Adaptive Fuzzy Control for Nonaffine Nonlinear Pure-Feedback Systems.  ... 
doi:10.1109/tfuzz.2020.3048828 fatcat:vml5fun6szcqbhpceebk3xfg2u

dSPACE Implementation of Improved Indirect Rotor Field-Oriented Control of Asynchronous Motor using Fuzzy Self-Adjustable Proportional Integral Controller for Electric Vehicle Applications

This paper deals with the indirect rotor field-oriented control of asynchronous motor whose speed is controlled by a fuzzy self-adjustable proportional integral controller.  ...  The characteristic of this controller is its capacity to adapt in real time its gains in order to reject the machine parameters disturbances.  ...  However, this controller is linear, sensitive to the variation of the motor parameters and unable to control the nonlinear systems [4] .  ... 
doi:10.35940/ijitee.l2974.119119 fatcat:z6umqrafnnbjbi35svmqvkg2xm

Stability Analysis of Fuzzy Logic Control Systems for a Class of Nonlinear SISO Discrete-Time Systems

Radu-Emil Precup, Marius-Lucian Tomescu, Stefan Preitl, Emil M. Petriu, Claudia-Adina Dragoş
2011 IFAC Proceedings Volumes  
The fuzzy logic control systems consist of nonlinear Single Input-Single Output (SISO) discrete-time processes controlled by Takagi-Sugeno fuzzy logic controllers.  ...  This paper suggests a new stability analysis theorem dedicated to a class of fuzzy logic control systems.  ...  ACKNOWLEDGEMENTS This work was supported by the CNCSIS (IDEI 940/2008) and UEFISCDI (SICONA 12100/2008) of Romania.  ... 
doi:10.3182/20110828-6-it-1002.00937 fatcat:le3ead6siba6bnslljvalsdzt4

Flatness-Based Adaptive Neurofuzzy Control of Chaotic Dynamical Systems

G. Rigatos, P. Siano
2016 Intelligent Industrial Systems  
The paper proposes a solution to the problem of control of nonlinear chaotic dynamical systems, which is based on differential flatness theory and on adaptive fuzzy control.  ...  An adaptive fuzzy controller is designed for chaotic dynamical systems, under the constraint that the system's model is unknown.  ...  Adaptive fuzzy control based on differential flatness theory extends the class of systems to which indirect adaptive fuzzy control can be applied [31] [32] [33] [34] [35] [36] .  ... 
doi:10.1007/s40903-016-0055-8 fatcat:kzimjz5b6zc6bnic7pwv7qyfpe

A Review on Adaptive Methods for Structural Control

Ilaria Venanzi
2016 Open Civil Engineering Journal  
The Open Civil Engineering Journal, 2016, Volume 10 661 testing adaptive control systems and the fast technological developments in the field of smart systems, will soon allow the increase of real applications  ...  of adaptive systems for structural control. © Ilaria Venanzi; Licensee Bentham Open This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International  ...  The spreading opportunity of physically Fig. ( 1 1 ). Schematic of the adaptive control. Fig. ( 2 2 ). Classification of adaptive control methods.  ... 
doi:10.2174/1874149501610010653 fatcat:6yxvvwk4vzetpamx273zac5fca

Page 1261 of Mathematical Reviews Vol. , Issue 89C [page]

1989 Mathematical Reviews  
Polyakov, Increasing the reliability of decision-making un- der fuzzy conditions (pp. 83-92); A. V. Yazenin, Indirect methods for fuzzy mathematical programming (pp. 92-106).  ...  ISBN 5-376-00327-2 Contents: A. V. Albul, A method for solving minimax control prob- lems (pp. 3-14, 170); M. A. Barkar’ and I. N.  ... 

Neural Network Model Predictive Control of Nonlinear Systems Using Genetic Algorithms

Vesna Rankovic, Jasna Radulovic, Nenad Grujovic, Dejan Divac
2014 International Journal of Computers Communications & Control  
In this paper the synthesis of the predictive controller for control of the nonlinear object is considered. It is supposed that the object model is not known.  ...  Controller synthesis is illustrated for plants often referred to in the literature. Results of simulations show effectiveness of the proposed control system.  ...  Result of simulation indicates that adaptive neuro fuzzy inference systems are a good candidate for identification purposes.  ... 
doi:10.15837/ijccc.2012.3.1394 fatcat:k53ee6f3u5fhbe7m3lufdvqnpi

Adaptive Decoupled Fuzzy Sliding-Mode Control of a Nonlinear Aeroelastic System

Chih-Min Lin, Wei-Liang Chin
2006 Journal of Guidance Control and Dynamics  
Adaptive Decoupled Fuzzy Sliding-Mode Control of a Nonlinear Aeroelastic System Chih-Min Lin* and Wei-Liang Chin" Yuan-Ze University, Tao-Yuan 320, Taiwan, Republic of China I.  ...  ., “Guidance Law Design by Adaptive Fuzzy Sliding-Mode Control,” Journal of Guidance, Control, and Dynamics Vol. 25, No. 2, 2002, pp. 248-256. 7Lo, J. C., and Kuo, Y.  ... 
doi:10.2514/1.17152 fatcat:5y36jkoo4bhmjptlhvnnnzdtmi

Plenary Talk 1 Smart grid - The future intelligent energy supply Challenges, Technologies and Opportunities

2019 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA)  
Modern society demands this system to be more reliable, scalable, and manageable while also being cost effective, secure, and interoperable and the electric power system of the future needs to address  ...  The smart grid delivers electricity from producers to consumers using two-way digital technology, and allows control of appliances in the consumers' houses and of machines in factories to save energy,  ...  A type-2 fuzzy logic system is a system in which the antecedent or consequent membership functions are type-2 fuzzy sets. Type-2 fuzzy sets have grades of membership that are themselves fuzzy.  ... 
doi:10.1109/icsresa49121.2019.9182470 fatcat:24lwuqmntnblrodg4mlhddspaa

A model reference control structure using a fuzzy neural network

Yie-Chien Chen, Ching-Cheng Teng
1995 Fuzzy sets and systems (Print)  
In this paper, we present a design method for a model reference control structure using a fuzzy neural network. We study a simple fuzzy-logic based neural network system.  ...  Knowledge of rules is explicitly encoded in the weights of the proposed network and inferences are executed efficiently at high rate. Two fuzzy neural networks are utilized in the control structure.  ...  In the conventional adaptive control literature, there are two distinct adaptive control categories: (1) direct adaptive control and (2) indirect adaptive control [13] .  ... 
doi:10.1016/0165-0114(94)00319-3 fatcat:wc273zr3nnctbinzrju4kox5yi

Takagi-Sugeno Fuzzy Model-Based Flight Control and Failure Stabilization

Evan J. Butler, Hua O. Wang, John J. Burken
2011 Journal of Guidance Control and Dynamics  
Nonlinear adaptive systems can be further classified into indirect adaptive systems and direct adaptive systems.  ...  Nonlinear indirect adaptive control systems are based on the model properties, such as dynamic inversion, but the adaptive system is continually conducting non- linear parameter identification of the aircraft  ... 
doi:10.2514/1.52509 fatcat:kaoqjtkw4jarjbvpcu5oz7ve5q

Composite adaptive fuzzy control for synchronizing generalized Lorenz systems

Yongping Pan, Meng Joo Er, Tairen Sun
2012 Chaos  
This paper presents a methodology of asymptotically synchronizing two uncertain generalized Lorenz systems via a single continuous composite adaptive fuzzy controller (AFC).  ...  The composite AFC (CAFC) containing an identification model and an indirect AFC is constructed to achieve fuzzy identification and fuzzy control simultaneously.  ...  ACKNOWLEDGMENTS The authors would like to acknowledge reviewers for their useful suggestions that have greatly improved the quality of this manuscript.  ... 
doi:10.1063/1.4721901 pmid:22757551 fatcat:cbzh7n47ofauji7eeey5gc3sue

Industrial applications of soft computing: a review

Y. Dote, S.J. Ovaska
2001 Proceedings of the IEEE  
Fuzzy logic (FL), neural networks (NN), and evolutionary computation (EC) are the core methodologies of soft computing.  ...  This paper reviews applications of SC in several industrial fields to show the various innovations by TR, HMIQ, and low cost in industries that have been made possible by the use of SC.  ...  For example, [93] presents type-I fuzzy systems implemented using Gaussian radial basis function neural networks as local models in blended model structures for nonlinear systems.  ... 
doi:10.1109/5.949483 fatcat:erzs7fqa35dixgm7mq2efptpai
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