Results 301 to 310 of about 23,578,223 (381)
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Asynchronous Filtering for Discrete-Time Switched T–S Fuzzy Systems
IEEE transactions on fuzzy systems, 2020In this paper, asynchronous $\mathcal {H}_{\infty }$ filtering is studied for discrete-time switched Takagi–Sugeno (T–S) fuzzy systems. New Lyapunov functions are constructed for switched systems with asynchronous switching between subsystems and ...
Shuang Shi, Z. Fei, P. Shi, C. Ahn
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Adaptive Fuzzy Practical Fixed-Time Tracking Control of Nonlinear Systems
IEEE transactions on fuzzy systems, 2021This article investigates an adaptive practical fixed-time control strategy for the output tracking control of a class of strict feedback nonlinear systems.
Ming Chen, Huanqing Wang, Xiaoping Liu
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Probabilistic Fuzzy Systems as Additive Fuzzy Systems
2014Probabilistic fuzzy systems combine a linguistic description of the system behaviour with statistical properties of data. It was originally derived based on Zadeh’s concept of probability of a fuzzy event. Two possible and equivalent additive reasoning schemes were proposed, that lead to the estimation of the output’s conditional probability density ...
Almeida, R.J. +3 more
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Filtering for Switched T–S Fuzzy Systems With Persistent Dwell Time
IEEE Transactions on Cybernetics, 2019The $\boldsymbol {\mathcal {H}_{\infty }}$ filter design for a class of switched Takagi–Sugeno (T–S) fuzzy systems with persistent dwell time (PDT) is investigated in this paper.
Shuang Shi +3 more
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IEEE transactions on fuzzy systems, 2021
In this article, the sliding mode control issue is investigated for a class of discrete-time Takagi–Sugeno fuzzy networked singularly perturbed systems via an observer-based technique.
Jing Wang +4 more
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In this article, the sliding mode control issue is investigated for a class of discrete-time Takagi–Sugeno fuzzy networked singularly perturbed systems via an observer-based technique.
Jing Wang +4 more
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IEEE transactions on fuzzy systems, 2022
Resilient fuzzy stabilization is capable of providing much less conservative results than conventional fuzzy stabilization while the alert threshold condition should be always satisfied at each sampling instant.
Xiangpeng Xie +3 more
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Resilient fuzzy stabilization is capable of providing much less conservative results than conventional fuzzy stabilization while the alert threshold condition should be always satisfied at each sampling instant.
Xiangpeng Xie +3 more
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Fuzzy-Systeme und Neuro-Fuzzy-Systeme
1998Die Anwendung von Fuzzy-Systemen hat sich in den letzten Jahren immer mehr in Bereiche der Betriebswirtschaft, Datenanalyse, Medizin usw. erstreckt und ist keineswegs mehr auf technische Anwendungen beschrankt. Gleichzeitig spielen Kopplungen von Fuzzy-Systemen mit anderen Methoden des Soft Computing eine immer grosere Rolle.
Detlef Nauck, Rudolf Kruse
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Dissipativity-Based Fuzzy Integral Sliding Mode Control of Continuous-Time T-S Fuzzy Systems
IEEE transactions on fuzzy systems, 2018This paper is concerned with dissipativity-based fuzzy integral sliding mode control (FISMC) of continuous-time Takagi-Sugeno (T-S) fuzzy systems with matched/unmatched uncertainties and external disturbance.
Yue-ying Wang +3 more
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Kybernetes, 1988
With the object of translating some concepts and results from classical Reliability Theory into particular types of multistate systems, this article starts by presenting some basic definitions of fuzzy systems. The concepts of fuzzy coherent and fuzzy crisp‐based systems are examined and some results on fuzzy coherent structures are presented.
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With the object of translating some concepts and results from classical Reliability Theory into particular types of multistate systems, this article starts by presenting some basic definitions of fuzzy systems. The concepts of fuzzy coherent and fuzzy crisp‐based systems are examined and some results on fuzzy coherent structures are presented.
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IEEE transactions on fuzzy systems, 2022
This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm consists of two steps: the first generates randomly the particle population ...
C. Pozna +3 more
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This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm consists of two steps: the first generates randomly the particle population ...
C. Pozna +3 more
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