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Sliding-mode-based direct adaptive fuzzy controller design for a class of uncertain multivariable nonlinear systems

Wei-Song Lin, Chun-Sheng Chen
2002 Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301)  
A practical design of fuzzy logic controller is presented in which the sliding mode control method and the adaptive control scheme are properly incorporated to enhance robustness and sliding performance  ...  The hitting control is appended to assure that the fuzzy sliding mode control can achieve a stable closed-loop system through Lyapunov stability theory for the trajectories tracking control of a plant  ...  The financial support for this research from the National Science Council of Taiwan, R. 0. C. under NSC90-22 12-E002-216 is gratefully acknowledged.  ... 
doi:10.1109/acc.2002.1025241 fatcat:penuziiucnebdij3tczq2ahz6u

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  ...  In an effort to improve the robustness of the adaptive fuzzy control system, many works have been published on the design of adaptive fuzzy sliding mode controller (AFSMC).  ... 
doi:10.1109/icsmc.2009.5346002 dblp:conf/smc/ShihL09 fatcat:n2o7dmlcizbmvk4dcsu5h5md44

An Adaptive Optimal Multi-Surface Back-Stepping Sliding Mode Control Design for the Takagi-Sugeno Fuzzy Model of Uncertain Nonlinear System with External Disturbance

Farzad Soltanian, Mokhtar Shasadeghi, Saleh Mobayen, Afef Fekih
2022 IEEE Access  
This paper proposes a novel scheme of the multi-objective robust control design for a class of uncertain nonlinear systems in strict-feedback-form based on Takagi-Sugeno fuzzy model (TSFM).  ...  First, a new sliding surface is defined using a convex combination of the surfaces which are defined for each fuzzy rule consequence local linear subsystems.  ...  OPTIMAL SLIDING MODE CONTROLLER DESIGN In this section, for the nonlinear system (1) which can be exposed to an external disturbance, an optimal controller is designed.  ... 
doi:10.1109/access.2022.3148060 fatcat:7f4qzjdlabchfaunmabiko44ca

Design of adaptive fuzzy sliding mode for nonlinear system control

Sinn-Cheng Lin, Yung-Yaw Chen
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference  
An adaptive fuzzy sliding mode controller (AFSMC) is proposed in this paper.  ...  The parameters of the membership functions in the fuzzy rule base are changed according to some adaptive algorithm for the purpose of controlling the system state to hit an userdefined sliding surface  ...  The slightly tuning by designer is also necessary. In the paper, we develop a new strategy called adaptive fuzzy sliding mode control (AFSMC).  ... 
doi:10.1109/fuzzy.1994.343693 fatcat:tlgd5k4cwvb7vlohefde2kf4ha

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.  ...  Stable direct adaptive control law consists of an ideal control, and a sliding mode control. Sliding mode controller is used to ensure the stability of Lyapunov function.  ...  Fuzzy logic system [12] that uses adaptive sliding mode control can approximate the unknown function of nonlinear systems.  ... 
doi:10.5120/11657-7172 fatcat:o47ezxi425fz7osncjd7pbjyla

Challenges in the Automatic 3D Overhead Cranes Control Design

Tsung Chih Lin
2015 Advances in Automobile Engineering  
Huang HC (2015) Adaptive fuzzy time-varying sliding mode PI control for uncertain nonlinear time delay systems. Master thesis.  ...  Chih Lin T (2010) Based on interval type-2 fuzzy neural network direct Adaptive sliding mode control for SISO nonlinear systems.  ...  Moreover, an adaptive fuzzy sliding mode controller combines the merits of a sliding mode control, a fuzzy inference mechanism and an adaptive algorithm [3] .  ... 
doi:10.4172/2167-7670.1000112 fatcat:zmncds2ydzdv7kt2o7fk3ibcnm

Guest Editorial: New Trends in Sliding Mode Control and Observation for Markovian Jump Systems

Hamid Reza Karimi, Qingbin Gao, Yueying Wang, Michel Zasadzinski
2019 International Journal of Control, Automation and Systems  
The authors in the paper entitled "Sliding Mode Control for We-energy Based on Markovian Jumping Systems" modeled the we-energy model as a Makovian jumping system, and presented a suitable SMC design strategy  ...  The authors in the paper with the title "The Equivalent Sliding Mode Tension Control of Carbon Fiber Multilayer Diagonal Loom" developed a sliding mode tension controller for the carbon fiber multilayer  ...  The authors in "Fuzzy Dynamic Sliding Mode Controller Design for Uncertain Nonlinear Markovian Jump Systems" investigated the SMC problem for T-S fuzzy model-based nonlinear MJSs.  ... 
doi:10.1007/s12555-019-9901-2 fatcat:bag3sgnj35flhcfe4brrfigeai


Dae-Sik Lee, Kwang Y. Lee
2002 IFAC Proceedings Volumes  
The adaptive fuzzy variable structure controller developed in this paper employs fuzzy controller with nonlinear sliding mode.  ...  Therefore, combination of the best feature of the fuzzy logic control and the sliding mode control is considered.  ...  The adaptive fuzzy variable structure controller used in this paper employs fuzzy controller with nonlinear sliding mode [11] , while the previous methods used the fuzzy controller with linear sliding  ... 
doi:10.3182/20020721-6-es-1901.00678 fatcat:shsw5il6kna53pdqcc5rjw7ple

Adaptive Fuzzy Sliding Mode Control for a Class of Nonlinear System

Xue Xiao, Zheng Zheng, Dong Haobin
2015 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
For a class of nonlinear system with parameter perturbation and external disturbance, adaptive fuzzy control can be used to approach the system unknown functions to reduce the control input and the steady-state  ...  And an adaptive switch control gain whose adaptive law is decreasing function is designed to weaken the system chattering, the switch gain of estimate will increase on the basis of the original without  ...  Design of an Adaptive Fuzzy Sliding Mode Controller Algorithm Design For type (1) nonlinear system, said if ( , ) f x t , ( , ) g x t and ( ) d t as is known,     0    s t s t can be based on  ... 
doi:10.12928/telkomnika.v13i4.1898 fatcat:m7gsslzmhfddxkptbnjpi3a3ku

H/sub ∞/ tracking-based sliding mode control for uncertain nonlinear systems via an adaptive fuzzy-neural approach

Wei-Yen Wang, Mei-Lang Chan, C.-C.J. Hsu, Tsu-Tian Lee
2002 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
In this paper, a novel adaptive fuzzy-neural sliding mode controller with tracking performance for uncertain nonlinear systems is proposed to attenuate the effects caused by unmodeled dynamics, disturbances  ...  Furthermore, the tracking design technique and the sliding mode control method are incorporated into the adaptive fuzzy-neural control scheme so that the derived controller is robust with respect to unmodeled  ...  CONCLUSION In this paper, an adaptive fuzzy-neural control scheme incorporating both the tracking design technique and the sliding mode control method for uncertain nonlinear systems has been developed  ... 
doi:10.1109/tsmcb.2002.1018767 pmid:18238144 fatcat:jm6bukm2srhibk4zrg2vrtevq4


F Areed, K M Soliman, S Saraya, M Elbaz
2006 Egyptian Journal for Engineering Sciences and Technology  
This paper develops aii algonthm for designing aii adaptive fuzzy logic conti'oller based on sliding mode concept for a class of nonlinear dynamic systems for wiiich tlie plant nonJinearities is either  ...  Then a new method for designing an adaptive fuzzy conti'ol system based on sliding mode is pi'oposed for the trajectoiy tracking control.  ...  The aigorithrn employs fuzzy systems to adaptively compensate for the plant nonlinearities. it is first shown iJiat tiie hizzy system with the system representative point (RP) and its derivative in variable  ... 
doi:10.21608/eijest.2006.96634 fatcat:7bg6n3eddnh6pgeovvgcnq5azi

Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope with Finite Time Convergence

Jianxin Ren, Rui Zhang, Bin Xu
2016 Journal of Sensors  
This paper presents adaptive fuzzy finite time sliding mode control of microelectromechanical system gyroscope with uncertainty and external disturbance.  ...  Secondly, nonlinear sliding mode hypersurface and double exponential reaching law are selected to design the finite time convergent sliding mode controller.  ...  Robust adaptive sliding mode control with on-line identification for the upper bounds of external disturbance and estimator for the nonlinear dynamics of MEMS gyroscope uncertainty parameters was proposed  ... 
doi:10.1155/2016/1572303 fatcat:pcuckjx5mnby5n66eclcjbin3u

Fuzzy Logic Adaptive Online Optimization of Sliding Mode Control with Boundary Layer Self-tuning

Jingxin Wei, Xiaoyu Zhang
2017 International Journal of Control and Automation  
In this paper, we present a fuzzy logic adaptive online optimization method with a sliding mode control (SMC) and boundary layer self-tuning based on an approximate mode for nonlinear discrete systems.  ...  First, parameters of the sliding mode boundary layer are made with online adjustments through some adaptive law to get smooth sliding mode control.  ...  International Journal of Control and Automation Vol. 10, No.4 (2017)  ... 
doi:10.14257/ijca.2017.10.4.32 fatcat:2jhcdgqybvgslguyahbrxr42ma

Robust Auto-Intelligent Sliding Accuracy for High Sensitive Surgical Joints

Amirzubir Sahamijoo, Farzin Piltan, Mohammad Reza Avazpour, Hootan Ghiasi, Mohammad Hadi Mazloom
2015 International Journal of Hybrid Information Technology  
This controller is used to control of highly nonlinear systems especially for surgical joints.  ...  Variable Structure controller is a powerful nonlinear robust controller under condition of partly uncertain dynamic parameters of system.  ...  Acknowledgments The authors would like to thank the anonymous reviewers for their careful reading of this paper and for their helpful comments.  ... 
doi:10.14257/ijhit.2015.8.8.02 fatcat:yhreqh5nynhhhnp6ncnno65xe4

Robust adaptive sliding mode control using fuzzy modelling for a class of uncertain MIMO nonlinear systems

W.-S. Lin, C.-S. Chen
2002 IEE Proceedings - Control Theory and Applications  
A practical design that combines a fuzzy adaptation technique with sliding mode control to enhance robustness and sliding performance in a class of uncertain MIMO nonlinear systems is proposed.  ...  The hitting control is appended to ensure that the fuzzy sliding mode control can achieve a stable closed-loop system for the trajectory-tracking control of a plant with unknown nonlinear dynamics.  ...  That is, the fuzzy logic system theory is applied to design the sliding mode controller for system (1).  ... 
doi:10.1049/ip-cta:20020236 fatcat:zc4n7oe4dvbongigk7soi734m4
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