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Research of General Fuzzy Integral Sliding Mode Controller Based on Complex Networks

Dongsheng Yang, Bingqing Li, He Jiang, Xingyu Liu, Yihe Wang
2015 International Journal of Control and Automation  
The paper proposes fuzzy dynamic integral sliding mode control scheme and the scheme is designed for the complex networks based on their T-S fuzzy approximation models.  ...  A fuzzy integral sliding mode control method based on the finite time stable theory and integral sliding mode control theory is proposed to solve a class of complex network problems.  ...  integral sliding mode control scheme has been developed for complex networks systems based on T-S fuzzy models.  ... 
doi:10.14257/ijca.2015.8.11.29 fatcat:kplkr5h6pjf55ainsnhay6ibia

Adaptive Fuzzy Sliding Mode Control Method for Vision- Based Food Packaging Line Robot Joint

J. Lu, C. Tian, M.C. Chen
2015 Chemical Engineering Transactions  
system of Vision-Based food packaging line with Adept robot and proposed the double adaptive fuzzy sliding mode control to investigate joint trajectory control of food packaging line robot.  ...  The simulation results indicate that the proposed double adaptive fuzzy sliding mode control method can effectively guide the joint trajectory and is much better than traditional sliding mode control.  ...  Acknowledgments This work is supported by the Natural Science Foundation of Chaohu University(No. XLY-201503).  ... 
doi:10.3303/cet1546156 doaj:df09455b85ba49c5bc0da439f0c8ef1d fatcat:qud3pne7znh23grfz6htlcldy4

Hybrid fuzzy-based sliding-mode control approach, optimized by genetic algorithm for quadrotor unmanned aerial vehicles

M. Pazooki, A. H. Mazinan
2017 Complex & Intelligent Systems  
In the following, the capability of hybrid fuzzy-based sliding-mode control approach has been used to ensure the system stability.  ...  In addition, the genetic algorithm has been added to the control structure in order to optimize the proposed con-trol system to meet the requirement of realizing fuzzy-based control approach.  ...  International License (http://creativecomm, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s)  ... 
doi:10.1007/s40747-017-0051-y fatcat:xe4etm7raffztfxplfyaqp45cq

Tracking System Design Based on Digital Minimum Variance Control with Fuzzy Sliding Mode

Darko Mitic, Marko Milojkovic, Dragan Antic
2007 2007 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services  
This paper deals with a design of input/output based digital fuzzy sliding mode control concept where no information on a reference input signal is available (only error signal is measurable).  ...  The control approach is based on minimum variance control method with disturbance estimator.  ...  Based on (10), the scaling coefficient of input fuzzy controller variable can be determined as: Ν + = f s k f k . (11) DIGITAL MINIMUM VARIANCE CONTROL WITH FUZZY-SLIDING MODE This section deals with  ... 
doi:10.1109/telsks.2007.4376051 fatcat:vctxsihjbnatzbebqkuetpdtju

Design New Rule-based Effect Fuzzy Controller

Mina Mirzaie, Farzin Piltan, Nasri Sulaiman, Shahnaz Tayebi Haghighi
2014 International Journal of Advanced Science and Technology  
This paper presents a method to select rule base size depending on the nonlinear parameters present in the system in parallel with robust sliding mode controller.  ...  Rule base is one of the important key factors in design of fuzzy controller. The performance of the system is affected if nonlinear parameters are present in the system.  ...  The SISO fuzzy system is define as Based on sliding mode formulation (28) and PD linear methodology (5); = (̇+ ) (55) And ℎ is obtained by U switch = K(x ⃗ , t) • sgn(S New ) = K(x ⃗ , t) • sgn ( (̇+ )  ... 
doi:10.14257/ijast.2014.72.01 fatcat:o6awhhgswzbtjltamepw2nvf5q

Adaptive Fuzzy Sliding Mode Control for Brushless Doubly Fed Machine

Zongkai Shao, Yuedong Zhan
2009 2009 Second International Symposium on Computational Intelligence and Design  
A grey model estimator and adaptive fuzzy control technology are incorporated into the sliding mode control (SMC) to adaptively regulate the adaptive law of SMC.  ...  AbstractIn this paper, a grey fuzzy sliding mode controller (GFSMC) for brushless doubly fed motor (BDFM) adjustable speed system is presented.  ...  Conclusions Based on the adaptive fuzzy control and grey model estimator, a sliding mode control (SMC) for BDFM adjustable speed system has been implemented.  ... 
doi:10.1109/iscid.2009.167 dblp:conf/iscid/ShaoZ09 fatcat:jmh77czxr5abvlle7evboyb76u

Observer-Based Fuzzy Integral Sliding Mode Control For Nonlinear Descriptor Systems

Jinghao Li, Qingling Zhang, Xing-Gang Yan, Sarah Spurgeon
2018 IEEE transactions on fuzzy systems  
Observer-based integral sliding mode control strategies for the T-S fuzzy descriptor systems are developed.  ...  Index Terms-Observer-based stabilization, T-S fuzzy descriptor systems, integral sliding mode control, mechanical systems.  ...  This paper is concerned with observer-based integral sliding mode control problems for nonlinear descriptor systems based on a T-S fuzzy model.  ... 
doi:10.1109/tfuzz.2018.2802458 fatcat:k4f2vzwvgncxbbciiybgkkbk3y

A sliding-mode approach to fuzzy control design

J.C. Wu, T.S. Liu
1996 IEEE Transactions on Control Systems Technology  
Experimental results demonstrate that the proposed method outperforms both proportional integral derivative (PID) control and neural-network-based fuzzy control.  ...  Sliding modes are used to determine best values for parameters in fuzzy control rules, thereby robustness in fuzzy control can be improved.  ...  Fuzzy control research based on the fuzzy set theory [29] was initiated by Mamdani 1191. Braae and Rutherford [2] proposed both an algebraic model and a linguistic model for fuzzy control.  ... 
doi:10.1109/87.486340 fatcat:lajmpepwcraqhbx73jn6hgq6vy

Fuzzy-identification-based adaptive sliding-mode control for a class of nonlinear systems

Chun-Fei Hsu, Chih-Min Lin, Chin-Hsu Leng
2006 International Mathematical Forum  
In this study, a fuzzy-identification-based adaptive sliding-mode control (FIASMC) scheme is proposed for a class of nonlinear systems.  ...  The computed controller containing a fuzzy identifier is the principal controller, and the robust controller is designed to dispel the identification error.  ...  Moreover, some researchers have proposed adaptive fuzzy control designs based on the sliding-mode control scheme.  ... 
doi:10.12988/imf.2006.06080 fatcat:f23wbaxnunfsdormirgqbced6u

Advanced Adaptive Fault Diagnosis and Tolerant Control for Robot Manipulators

Farzin Piltan, Cheol-Hong Kim, Jong-Myon Kim
2019 Energies  
In this paper, an adaptive Takagi–Sugeno (TS) fuzzy sliding mode extended autoregressive exogenous input (ARX)–Laguerre proportional integral (PI) observer is proposed.  ...  The proposed robust adaptive TS fuzzy sliding mode estimation extended-state ARX–Laguerre PI observer was verified with six degrees of freedom (DOF) programmable universal manipulation arm (PUMA) 560  ...  Algorithm 1 illustrates the adaptive T-S fuzzy sliding mode extended-state ARX-Laguerre PI observer for fault detection, estimation, identification, and tolerant control of a robot manipulator.  ... 
doi:10.3390/en12071281 fatcat:sj2j44jgire7bg2birlmphwunm

Incremental Fuzzy Sliding Mode Control of Pneumatic Muscle Actuators

Chia-Jui Chiang, Ying-Chen Chen
2018 International Journal of Innovative Computing, Information and Control  
The integral action of the fuzzy sliding mode controller (FSMC) is implemented using the incremental algorithm to reduce the oscillations.  ...  Specifically, the fuzzy logic based controller is chosen to cope with the complex and nonlinear dynamics of the PMA and a sliding surface is adopted to reduce the number of fuzzy rules.  ...  T. Wang from NTUST for the fruitful discussions.  ... 
doi:10.24507/ijicic.14.05.1917 fatcat:bfmdpwvrmjcuxlse3v4aalnw2y

A Novel Soft Computing Based Algorithm for the Control of Dynamic Uncertain Systems - An Application to DC-DC Converters

Abdul kareem, Mohammad Fazle Azeem
2011 International Journal of Artificial Intelligence & Applications  
, sliding mode controllers and integral controllers.  ...  Many researchers have proposed the combination of sliding mode control and Soft computing based control to combine the advantages of both control techniques.  ...  mode fuzzy controller with parallel integrator are S(k) and cS(k).  ... 
doi:10.5121/ijaia.2011.2202 fatcat:zaa26ivanvegpdixatwficw67m

Data-Driven Model-Free Sliding Mode and Fuzzy Control with Experimental Validation

Radu-Emil Precup, Raul-Cristian Roman, Elena-Lorena Hedrea, Emil M. Petriu, Claudia-Adina Bojan-Dragos
2020 International Journal of Computers Communications & Control  
Two data-driven model-free sliding mode control structures and one data-driven model-free fuzzy control structure are given.  ...  The paper presents the combination of the model-free control technique with two popular nonlinear control techniques, sliding mode control and fuzzy control.  ...  Model-free sliding mode control based on linear regression estimation and optimization is discussed in [16] and applied in [17] to blood glucose control.  ... 
doi:10.15837/ijccc.2021.1.4076 fatcat:tobw7jvnsvh53nhvwv34ml3tkq

Fuzzy Boundary Layer Solution To Nonlinear Hydraulic Position Control Problem

Mustafa Resa Becan
2007 Zenodo  
Sliding mode control with a fuzzy boundary layer is presented to hydraulic position control problem in this paper.  ...  A nonlinear hydraulic servomechanism which has an asymmetric cylinder is modeled and simulated first, then the proposed control scheme is applied to this model versus the conventional sliding mode control  ...  SLIDING MODE CONTROL Consider the following nonlinear system ( , ) ( , ) x f x t B x t u = + & (3) where n X R ∈ is the state variables of dimension n, m u R ∈ is the control variable, f(x,t) and B(x,t  ... 
doi:10.5281/zenodo.1057517 fatcat:olurs5xm7ffevkosgilmp2dc74

Lyapunov Based-Distributed Fuzzy-Sliding Mode Control for Building Integrated-DC Microgrid With Plug-In Electric Vehicle

Mohammad Iman Ghiasi, Masoud Aliakbar Golkar, Amin Hajizadeh
2017 IEEE Access  
In order to eliminate the chattering effect of sliding mode control on the control signals, a fuzzy control is used in order to form a fuzzy sliding mode control (FSMC) structure.  ...  The fuzzy controllers have been designed based on constant rules base and due to load change, it has not adaptive property.  ... 
doi:10.1109/access.2017.2689807 fatcat:mh5othwenjczvdigso2ftw63ki
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