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2019 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 49

2019 IEEE Transactions on Systems, Man & Cybernetics. Systems  
., +, Fuzzy Tracking Control for a Class of Uncertain MIMO Nonlinear Systems With State Constraints.  ...  ., +, TSMC April 2019 752-765 Fuzzy Tracking Control for a Class of Uncertain MIMO Nonlinear Systems With State Constraints.  ...  Open loop systems  ... 
doi:10.1109/tsmc.2019.2956665 fatcat:xhplbanlyne7nl7gp2pbrd62oi

2019 Index IEEE Transactions on Fuzzy Systems Vol. 27

2019 IEEE transactions on fuzzy systems  
Event-Triggered Robust Adaptive Fuzzy Control for a Class of Nonlinear Systems.  ...  ., +, TFUZZ Nov. 2019 2202-2214 Event-Triggered Robust Adaptive Fuzzy Control for a Class of Nonlinear Systems.  ...  Nonlinear filters Adaptive Neuro-Fuzzy Control for Discrete-Time Nonaffine Nonlinear Systems. Gil  ... 
doi:10.1109/tfuzz.2020.2966828 fatcat:pgfo5oksjrdbpa5s534ky74bie

Fuzzy Adaptive Tracking Control of Uncertain Strict-Feedback Nonlinear Systems with Disturbances Based on Generalized Fuzzy Hyperbolic Model

Jingxuan Shi, Zhongjun Yang
2020 Journal of Computer and Communications  
In this paper, a fuzzy adaptive tracking control for uncertain strict-feedback nonlinear systems with unknown bounded disturbances is proposed.  ...  Inspired by the previous studies, an improved fuzzy adaptive tracking control technique combining DSC method and GFHM approximator is proposed for a class of strict feedback nonlinear systems with dynamic  ...  Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper.  ... 
doi:10.4236/jcc.2020.810006 fatcat:kmlwpdpfdresfb66rndqrbowha

New Developments in Sliding Mode Control and Its Applications

Ligang Wu, Rongni Yang, Guanghui Sun, Xudong Zhao, Peng Shi
2014 Mathematical Problems in Engineering  
Li et al. concerns the problem of dynamic output-feedback control for a class of nonlinear systems with nonuniform uncertain sampling via T-S fuzzy control approach.  ...  neural network; another paper discusses dynamic output-feedback control for a class of nonlinear systems with nonuniform uncertain sampling via Takagi-Sugeno (T-S) fuzzy control approach; finally, two  ...  Acknowledgments We would like to express our sincere appreciation to the authors for their remarkable contributions in assisting us.  ... 
doi:10.1155/2014/481419 fatcat:6imzei5avzd5vkun5sqll7hry4

Takagi-Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems

Bharat Bhushan, Sudarshan K. Valluru, Madhusudan Singh
2013 International Journal of Computer Applications  
This paper proposes a novel idea for stable direct adaptive control of nonlinear systems using Lyapunov function with fuzzy approach.  ...  A computer simulation is performed on nonlinear systems by using MATLAB. Keywords Fuzzy system, Lyapunov function, adaptive control, ball beam system and cart pole system.  ...  A direct adaptive [22] FLC has been used for tracking a class of nonlinear dynamic systems.  ... 
doi:10.5120/11657-7172 fatcat:o47ezxi425fz7osncjd7pbjyla

Adaptive Approximation-Based Control for Uncertain Nonlinear Systems With Unknown Dead-Zone Using Minimal Learning Parameter Algorithm

A. Afrush, M. Shahriari-Kahkeshi
2019 Iranian Journal of Electrical and Electronic Engineering  
This paper proposes an adaptive approximation-based controller for uncertain strict-feedback nonlinear systems with unknown dead-zone nonlinearity.  ...  Proposed scheme deals with dead-zone nonlinearity and uncertain dynamics without requiring the availability of any knowledge about them, and it develops a control input without singularity concern.  ...  In [8] , adaptive fuzzy dynamic surface control was proposed for uncertain strict-feedback nonlinear systems with fuzzy dead-zone.  ... 
doaj:c84c7c0963714d3689f6a732b3130a71 fatcat:hlxvljwry5ef5it5txsn23eh74

Challenges in the Automatic 3D Overhead Cranes Control Design

Tsung Chih Lin
2015 Advances in Automobile Engineering  
Shahnazi R, Mohammad R, Akbarzadeh T (2008) PI Adaptive Fuzzy Control With Large and Fast Disturbance Rejection for a Class of Uncertain Nonlinear Systems. IEEE Trans. Fuzzy Syztems 16: 187-197. 6.  ...  Huang HC (2015) Adaptive fuzzy time-varying sliding mode PI control for uncertain nonlinear time delay systems. Master thesis.  ...  For example, various adaptive fuzzy control schemes for approximating arbitrary nonlinear functions have been developed to deal with nonlinear systems whose dynamics are poorly understood.  ... 
doi:10.4172/2167-7670.1000112 fatcat:zmncds2ydzdv7kt2o7fk3ibcnm

Design of observer-based integral adaptive fuzzy sliding mode controllers for a class of uncertain nonlinear systems

Kai-Shiuan Shih, Tzuu-Hseng S. Li
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
The observer-based integral adaptive fuzzy sliding mode controllers are developed for a class of uncertain nonlinear systems.  ...  Based on Lyapunov stability theorem, the proposed integral adaptive fuzzy sliding mode control system can guarantee the stability of the whole closed-loop systems and obtain good tracking performance as  ...  The T-S fuzzy model has been proven to be a very good representation for a certain class of nonlinear dynamic systems.  ... 
doi:10.1109/icsmc.2009.5346002 dblp:conf/smc/ShihL09 fatcat:n2o7dmlcizbmvk4dcsu5h5md44

2021 Index IEEE Transactions on Fuzzy Systems Vol. 29

2021 IEEE transactions on fuzzy systems  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  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 Feb. 2021 310-321 Command Filter Based Adaptive Fuzzy Finite-Time Control for a Class of Uncertain Nonlinear Systems With Hysteresis.  ... 
doi:10.1109/tfuzz.2021.3134727 fatcat:m66dl6wxdbgendhdx4bliy6nky

Sliding Mode Control for a Class of Multiple Time-Delay Systems [chapter]

Tung-Sheng Chiang, Peter Liu
2011 Time-Delay Systems  
There, the fuzzy logic system is constructed from a collection of fuzzy If-Then rules while the training algorithm adjusts adaptable parameters.  ...  In the fuzzy control, the TS fuzzy model [16]-[18] provides an efficient and effective way to represent uncertain nonlinear systems and renders to some straightforward research based on linear control  ...  162 In this paper, an adaptive TS-FNN sliding mode control is proposed for a class of nonlinear time-delay systems with uncertainties.  ... 
doi:10.5772/15931 fatcat:k7n3cz3v4ng5fiajhwoyc4mrdy

Trajectory tracking of under-actuated nonlinear dynamic robots: Adaptive fuzzy hierarchical terminal sliding-mode control

2016 Journal of Artificial Intelligence and Data Mining  
In this paper, a new design approach of an adaptive fuzzy hierarchical terminal sliding-mode controller (AFHTSMC) is proposed.  ...  Under-actuated nonlinear dynamic systems trajectory tracking, such as space robots and manipulators with structural flexibility, has recently been investigated for hierarchical sliding mode control since  ...  The contribution of this paper is to design the hierarchical terminal sliding mode controller with adaptive fuzzy learning laws for a class of uncertain under-actuated nonlinear dynamic systems (UUND).  ... 
doi:10.5829/idosi.jaidm.2016.04.01.11 fatcat:apxwdfa4xnchzassft2prdamd4

A Combined Backstepping and Small-Gain Approach to Robust Adaptive Fuzzy Control for Strict-Feedback Nonlinear Systems

Y. Yang, G. Feng, J. Ren
2004 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
In this paper, a robust adaptive tracking control problem is discussed for a general class of strict-feedback uncertain nonlinear systems.  ...  Index Terms-Backstepping technique, fuzzy control, robust adaptive control, robust adaptive sliding control, small gain approach, uncertain nonlinear systems.  ...  ACKNOWLEDGMENT The authors wish to thank anonymous referees for their valuable comments and criticisms, which have helped us to improve this paper.  ... 
doi:10.1109/tsmca.2004.824870 fatcat:54bcofc7hbdwzj5gbax7xvk7cq

A Novel Fuzzy Sliding-Mode Control for Discrete-Time Uncertain System

T. H. Yan, B. Wu, B. He, W. H. Li, R. B. Wang
2016 Mathematical Problems in Engineering  
This paper considers the sliding-mode control problem for discrete-time uncertain systems.  ...  A sliding-mode controller with simple fuzzy logic is then proposed to further strengthen the dynamic performance of the proposed sliding-mode controller.  ...  In [36] , Chen et al. considered the problem of observer-based adaptive fuzzy control for a class of nonlinear time-delay systems in nonstrict-feedback form.  ... 
doi:10.1155/2016/1530760 fatcat:qvtfu3fzvnblbnnm7kjnqgepgm

Global Exponential Stabilization for a Class of Uncertain Nonlinear Control Systems Via Linear Static Control

Yeong-Jeu Sun
2018 International Journal of Trend in Scientific Research and Development  
In this paper, the robust stabilization for a class of uncertain nonlinear systems is investigated.  ...  Based on the Lyapunov-like approach with differential inequalities, a simple linear static control is offered to realize the global exponential stability of such uncertain nonlinear systems.  ...  stabilization for a class of uncertain nonlinear systems is investigated.  ... 
doi:10.31142/ijtsrd20230 fatcat:eckn3q7q7nf53enajfloa3l754

Robust tracking designs for both holonomic and nonholonomic constrained mechanical systems: adaptive fuzzy approach

Yeong-Chan Chang, Bor-Sen Chen
2000 IEEE transactions on fuzzy systems  
First, a fuzzy logic system is introduced to learn the behavior of unknown (or uncertain) mechanical dynamics by using an adaptive algorithm.  ...  Adaptive fuzzy-based tracking control designs will be proposed in this paper for both holonomic mechanical systems as well as a large class of nonholonomic mechanical systems with plant uncertainties and  ...  of a reference signal for a class of continuous-time nonlinear plants with poorly understood dynamics.  ... 
doi:10.1109/91.824768 fatcat:abzsqdlkdnawbany63pgzg3bdi
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