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Research of General Fuzzy Integral Sliding Mode Controller Based on Complex Networks
2015
International Journal of Control and Automation
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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
2015
Chemical Engineering Transactions
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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
2017
Complex & Intelligent Systems
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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 ons.org/licenses/by/4.0/), 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
2007
2007 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services
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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
2014
International Journal of Advanced Science and Technology
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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
2009
2009 Second International Symposium on Computational Intelligence and Design
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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. ...
AbstractIn 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
2018
IEEE transactions on fuzzy systems
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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
1996
IEEE Transactions on Control Systems Technology
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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
2006
International Mathematical Forum
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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
2019
Energies
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In this paper, an adaptive Takagi–Sugeno (T–S) fuzzy sliding mode extended autoregressive exogenous input (ARX)–Laguerre proportional integral (PI) observer is proposed. ...
The proposed robust adaptive T–S 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
2018
International Journal of Innovative Computing, Information and Control
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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
2011
International Journal of Artificial Intelligence & Applications
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, 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
2020
International Journal of Computers Communications & Control
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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
2007
Zenodo
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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
2017
IEEE Access
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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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