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2019 Index IEEE Transactions on Fuzzy Systems Vol. 27

2019 IEEE transactions on fuzzy systems  
., +, TFUZZ Dec. 2019 2443-2452 Variable structure systems Adaptive Fractional Fuzzy Integral Sliding Mode Control for PMSM Model.  ...  Adaptive Fuzzy Event-Triggered Control for Stochastic Nonlinear Systems With Full State Constraints and Actuator Faults.  ...  Nonlinear filters Adaptive Neuro-Fuzzy Control for Discrete-Time Nonaffine Nonlinear Systems. Gil  ... 
doi:10.1109/tfuzz.2020.2966828 fatcat:pgfo5oksjrdbpa5s534ky74bie

Robust Control with Engineering Applications

Tao Li, Baoyong Zhang, Zhiguang Feng, Bochao Zheng
2014 Mathematical Problems in Engineering  
"Global harmonic current rejection of nonlinear backstepping control with multivariable adaptive internal model principle for grid-connected inverter under distorted grid voltage" by Y.  ...  Xue et al. presents a sufficient condition for variable structure control design based on sliding sector technique for a class of Markov jump systems with unknown transition rates.  ...  Acknowledgments We would like to express appreciation to the authors for their excellent contributions and patience in assisting us.  ... 
doi:10.1155/2014/567672 fatcat:7gqxorczj5emzms35c3n54bnh4

A Review on Comparative Remarks, Performance Evaluation and Improvement Strategies of Quadrotor Controllers

Rupal Roy, Maidul Islam, Nafiz Sadman, M. A. Parvez Mahmud, Kishor Datta Gupta, Md Manjurul Ahsan
2021 Technologies  
and Model Predictive Control (MPC), Neural Network, H-infinity, Fuzzy Logic, and Adaptive Control.  ...  The quadrotor is an ideal platform for testing control strategies because of its non-linearity and under-actuated configuration, allowing researchers to evaluate and verify control strategies.  ...  Fuzzy control can be considered as one of the most suitable controllers for a nonlinear system with uncertainty.  ... 
doi:10.3390/technologies9020037 fatcat:ju7url6qo5bkhkses7a2raom7m

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

2019 IEEE Transactions on Systems, Man & Cybernetics. Systems  
Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints.  ...  Observer-Based Decentralized Adaptive NNs Fault-Tolerant Control of a Class of Large-Scale Uncertain Nonlinear Systems With Actuator Failures.  ...  Open loop systems  ... 
doi:10.1109/tsmc.2019.2956665 fatcat:xhplbanlyne7nl7gp2pbrd62oi

Nonlinear Systems: Asymptotic Methods, Stability, Chaos, Control, and Optimization

Geraldo Nunes Silva, Maria do Rosário de Pinho, Marco Antonio Teixeira, Marcelo Messias, Elbert Macau
2011 Mathematical Problems in Engineering  
Paper number 14 is "New nonlinear controller for a class of chaotic systems based on adaptive backstepping fuzzy-immune control" by Kai-Shiuan Shih et al.  ...  An adaptive backstepping fuzzyimmune controller for a class of chaotic systems is proposed.  ... 
doi:10.1155/2011/498751 fatcat:7iwcqmscbja3xijp2oda7diow4

Backstepping Sliding Mode Control for Inverted Pendulum System with Disturbance and Parameter Uncertainty

Alfian Ma'arif, Marco Antonio Márquez Vera, Magdi Sadek Mahmoud, Samir Ladaci, Abdullah Çakan, Jonattan Niño Parada
2021 Journal of Robotics and Control (JRC)  
Based on testing with step and sine reference signals without interference, the controller can stabilize the system well and has a fast response.  ...  Therefore, this study uses a nonlinear controller, which is the backstepping sliding mode control.  ...  Al-Araji, “An adaptive swing-up sliding mode controller design of a Gyroscopic Inverted Pendulum Using PID, Fuzzy Logic and Fuzzy for a real inverted pendulum system based on Culture-Bees  ... 
doi:10.18196/jrc.v3i1.12739 fatcat:wpr4cafmazfmvc2uoyjmeuarfe

Fuzzy Synchronization Control for Fractional-Order Chaotic Systems With Different Structures

Jin Xu, Ning Li, Xiulan Zhang, Xiaoli Qin
2020 Frontiers in Physics  
A paralleled adaptive fuzzy synchronization controller is constructed in which indeterminate non-linear functions are approximated by the fuzzy logic systems depending on fractional-order Lyapunov stability  ...  This paper discusses the synchronization problem for a class of unknown fractional-order chaotic systems (FOCSs) with indeterminate external disturbances and non-symmetrical control gain.  ...  Fuzzy approximation-based adaptive backstepping optimal control for a class of nonlinear discrete-time systems with dead-zone.  ... 
doi:10.3389/fphy.2020.00155 doaj:9ab9a6050d7b4db39131c925e29e5edf fatcat:al3s2lxcezej3fe6qmpcqql2zq

Nonlinear Motion Control of Mobile Robot Dynamic Model [chapter]

Jasmin Velagic, Bakir Lacevic, Nedim Osmic
2008 Motion Planning  
Fuzzy system based on Sugeno inference model with 2 inputs and 2 outputs is used instead of classical backstepping controller (Fig. 10) where f is given with: () ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ ⎟ ⎠ ⎞ ⎜ ⎝ ⎛ = 2 tan atan  ...  The quality of the fuzzy controller is analyzed through comparison with previously developed a mobile robot position controller based on backstepping control algorithm.  ...  Different methods such as potential fields, reactive behaviours, neural-fuzzy based methods, motion control methods and so on are studied.  ... 
doi:10.5772/5997 fatcat:5pq7rz2c7bdpdfpuuuxpojzfpy

Trajectory Tracking Control of UUV Based on Backstepping Sliding Mode with Fuzzy Switching Gain in Diving Plane

Zheping Yan, Zewen Yang, Jinzhogn Zhang, Jiajia Zhou, Anzuo Jiang, Xue Du
2019 IEEE Access  
based on backstepping sliding mode with fuzzy switching gain is designed in this paper.  ...  Combining with the backstepping technique, the fuzzy switching sliding mode controller is proposed.  ...  and external disturbances. (2) Based on the control objective, we design a backstepping controller combining with sliding mode method for trajectory tracking of the under-actuated UUV, and introduce the  ... 
doi:10.1109/access.2019.2953530 fatcat:l6rtio5ecvcwlkhebuik7m7ygi

Systematic control of an electropneumatic system: integrator backstepping and sliding mode control

M. Smaoui, X. Brun, D. Thomasset
2006 IEEE Transactions on Control Systems Technology  
Nonlinear backstepping control and nonlinear sliding mode control laws are applied to the system under consideration. First, the nonlinear model of the electropneumatic system is presented.  ...  This paper presents a synthesis of a nonlinear controller to an electropneumatic system.  ...  Multivariable Backstepping Controller Backstepping [19] - [21] is a recursive procedure, which enables a control law to be derived for a nonlinear system, associated to the appropriate Lyapunov function  ... 
doi:10.1109/tcst.2006.880183 fatcat:4vainpaxjnej5nlyaujoggsvhe

AUV Trajectory Tracking Models and Control Strategies: A Review

Daoliang Li, Ling Du
2021 Journal of Marine Science and Engineering  
An AUV controller must be able to cope with various challenges with the underwater vehicle, adaptively update the reference model, and overcome unexpected deviations.  ...  Due to the environmental disturbances, underactuated problems, system constraints, and system coupling, AUV trajectory tracking control is challenging.  ...  [99] designed an adaptive rate for external interference, and used the backstepping method to define the virtual speed error variable.  ... 
doi:10.3390/jmse9091020 fatcat:sbjchl6l3vdg5casa6sf4xy4u4

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 Dec. 2020 3161-3170 Reduced-Order Observer-Based Adaptive Backstepping Control for Frac- tional-Order Uncertain Nonlinear Systems.  ...  ., +, TFUZZ Sept. 2020 2185-2194 Automation Reduced-Order Observer-Based Adaptive Backstepping Control for Frac- tional-Order Uncertain Nonlinear Systems.  ... 
doi:10.1109/tfuzz.2020.3048828 fatcat:vml5fun6szcqbhpceebk3xfg2u

Robust Adaptive Fuzzy Control for a Class of Uncertain MIMO Nonlinear Systems with Input Saturation

Shenglin Wen, Ye Yan
2015 Mathematical Problems in Engineering  
This paper studies the robust adaptive fuzzy control design problem for a class of uncertain multiple-input and multiple-output (MIMO) nonlinear systems in the presence of actuator amplitude and rate saturation  ...  Furthermore, in order to deal with fuzzy approximation errors for unknown nonlinear systems and external disturbances, a robust compensation control is designed.  ...  Adaptive backstepping tracking control based on fuzzy neural networks is investigated for unknown chaotic systems in [32] and with control input constraints in [33] .  ... 
doi:10.1155/2015/561397 fatcat:wnvn7oxuuvdq5jywikzinzirju

2021 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 51

2021 IEEE Transactions on Systems, Man & Cybernetics. Systems  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TSMC May 2021 3168-3179 Event-Triggered Adaptive Output Feedback Control of Multivariable Systems With Nonsmooth Actuator Nonlinearities.  ...  ., +, TSMC May 2021 2847-2859 Event-Triggered Adaptive Output Feedback Control of Multivariable Systems With Nonsmooth Actuator Nonlinearities.  ... 
doi:10.1109/tsmc.2021.3136054 fatcat:b5hcsfwjw5hllpenqmaq6wpke4

Robust Adaptive Tracking Control of the Underwater Robot with Input Nonlinearity Using Neural Networks

Mou Chen, Bin Jiang, Jie Zou, Xing Feng
2010 International Journal of Computational Intelligence Systems  
Using parameter adaptation, backstepping control and variable structure based techniques, the robust adaptive tracking control is presented for underwater robots to handle the uncertainties, saturation  ...  Backstepping control of the system dynamics is introduced to develop full state feedback tracking control.  ...  Adaptive Variable Structure Tracking Control We employ an approximation-based control in combination with VSC formulated through backstepping control of the system dynamics to follow a desired trajectory  ... 
doi:10.2991/ijcis.2010.3.5.13 fatcat:2gvxdcgk6jgrlc3qjuxatga6sa
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