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IEEE transactions on fuzzy systems, 2018
This paper examines quantized stabilization for Takagi–Sugeno (T–S) fuzzy systems with a hybrid-triggered mechanism and stochastic cyber-attacks. A hybrid-triggered scheme, which is described by a Bernoulli variable, is adopted to mitigate the burden of ...
Jinliang Liu +4 more
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This paper examines quantized stabilization for Takagi–Sugeno (T–S) fuzzy systems with a hybrid-triggered mechanism and stochastic cyber-attacks. A hybrid-triggered scheme, which is described by a Bernoulli variable, is adopted to mitigate the burden of ...
Jinliang Liu +4 more
semanticscholar +1 more source
Event-Based Reliable Dissipative Filtering for T–S Fuzzy Systems With Asynchronous Constraints
IEEE transactions on fuzzy systems, 2018In this paper, event-triggered reliable dissipative filtering is investigated for a class of Takagi–Sugeno (T–S) fuzzy systems. First, a reliable event-triggered communication scheme is introduced to release sampled measurement outputs only if the ...
Yajuan Liu +3 more
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Communications of the ACM, 1994
Born in the United States around 1965, fuzzy set theory has grown to become a major scientific domain collectively referred to in this article as «fuzzy systems,» which include fuzzy sets, logic, algorithms, and control. For the past few years, particularly in japan, approximately 1,000 commercial and industrial fuzzy systems have been successfully ...
Toshinori Munakata, Yashvant Jani
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Born in the United States around 1965, fuzzy set theory has grown to become a major scientific domain collectively referred to in this article as «fuzzy systems,» which include fuzzy sets, logic, algorithms, and control. For the past few years, particularly in japan, approximately 1,000 commercial and industrial fuzzy systems have been successfully ...
Toshinori Munakata, Yashvant Jani
openaire +1 more source
Filtering for Discrete-Time Switched Fuzzy Systems With Quantization
IEEE transactions on fuzzy systems, 2017The paper is concerned with the $H_\infty$ and $l_2$– $l_\infty$ filtering design problems for discrete-time nonlinear switched systems with quantized measurements using the Takagi–Sugeno (T–S) fuzzy model.
Shanling Dong +4 more
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Robust Sliding Mode Control for T-S Fuzzy Systems via Quantized State Feedback
IEEE transactions on fuzzy systems, 2018This paper is concerned with the robust sliding mode control (SMC) problem for a class of T-S fuzzy systems subject to both matched and mismatched uncertainties.
Y. Xue, Bochao Zheng, Xinghuo Yu
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IEEE Transactions on Cybernetics, 2020
This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states.
Shaocheng Tong, Xiao Min, Yuanxin Li
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This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states.
Shaocheng Tong, Xiao Min, Yuanxin Li
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IEEE transactions on fuzzy systems, 2018
The problem of relaxed real-time scheduling stabilization of nonlinear systems in the Takagi–Sugeno fuzzy model form is studied by proposing a new alterable-weights-based ranking switching mechanism. Thanks to the proposed alterable-weights-based ranking
Xiangpeng Xie, D. Yue, Chen Peng
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The problem of relaxed real-time scheduling stabilization of nonlinear systems in the Takagi–Sugeno fuzzy model form is studied by proposing a new alterable-weights-based ranking switching mechanism. Thanks to the proposed alterable-weights-based ranking
Xiangpeng Xie, D. Yue, Chen Peng
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
Jinliang Liu +4 more
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Jinliang Liu +4 more
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IEEE transactions on fuzzy systems, 2019
This paper studies the problem of fuzzy adaptive event-triggered control for a class of pure-feedback nonlinear systems, which contain unknown smooth functions and unmeasured states. Fuzzy logic systems are adopted to approximate unknown smooth functions
Jianbin Qiu +3 more
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This paper studies the problem of fuzzy adaptive event-triggered control for a class of pure-feedback nonlinear systems, which contain unknown smooth functions and unmeasured states. Fuzzy logic systems are adopted to approximate unknown smooth functions
Jianbin Qiu +3 more
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Fuzzy identification of systems and its applications to modeling and control
IEEE Transactions on Systems, Man and Cybernetics, 1985T. Takagi, M. Sugeno
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