Adaptive observer-based H∞ FTC for T-S fuzzy systems. Application to cart motion model

Kharrat, Dhouha; Gassara, Hamdi; Chaabane, Mohamed

doi:10.1016/j.jfranklin.2020.06.024

Cited by 11 publications

(10 citation statements)

References 47 publications

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“…Ichalal et al's (2012) work demonstrated that by utilizing the rapid adaptive observer suggested by Zhang et al (2008), the actuator faults and the state may be accurately assessed. Kharrat et al (2020) developed an adaptive observer for a class of TS fuzzy systems that include both sensor and actuator faults. In addition, this approach utilizes the H ' performance to reduce the influence of external disturbances.…”

Section: Introductionmentioning

confidence: 99%

“…Due to its remarkable capacity to simulate complex nonlinear systems, the well-known Takagi Sugeno (TS) fuzzy model has attracted considerable attention during the last 20 years. Ichalal et al’s (2012) work demonstrated that by utilizing the rapid adaptive observer suggested by Zhang et al (2008), the actuator faults and the state may be accurately assessed Kharrat et al (2020). developed an adaptive observer for a class of TS fuzzy systems that include both sensor and actuator faults.…”

Section: Introductionmentioning

confidence: 99%

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Robust fault estimation for polynomial systems with time delay via a polynomial adaptive observer

Gassara

Elloumi

Naifar

et al. 2022

Transactions of the Institute of Measurement and Control

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In this paper, a robust fault estimation for polynomial systems with time delay via a polynomial adaptive observer is presented and described. In fact, in contrast to previous research works on actuator faults, the learning rate utilized to govern the convergence speed of states and faults errors is not predetermined but is derived using the sum of squares optimization problem. Furthermore, the [Formula: see text] optimization approach was created to reduce the impact of disturbances on state estimation error and fault estimation error. Finally, an illustrative practical example is given to validate the effectiveness of the suggested methodology.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust fault estimation for polynomial systems with time delay via a polynomial adaptive observer

Gassara

Elloumi

Naifar

et al. 2022

Transactions of the Institute of Measurement and Control

Self Cite

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“…Membership functions are used to convert uncertain into fuzzy data, and fuzzifier can be applied to fuzzificate nonfuzzy data. Such tricks are now widely employed in decision support systems, fuzzy control, and various fields of computer science 1‐10 …”

Section: Introductionmentioning

confidence: 99%

Fuzzy edge connectivity in bipolar fuzzy networks and the applications in topology design

Gong

Hua

2022

Int J of Intelligent Sys

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The graph model is verified to be an effective network model, where the edges represent the direct channels between two sites. In practical applications, the sites and channels of the network have uncertain characteristics, and the entire network is represented by a fuzzy graph in this setting. In addition, fuzzy graphs are applied to describe irregular or structured data with uncertainty. This paper considers the problem of edge connectivity and local edge connectivity in bipolar fuzzy graph setting, including the edge connectivity of the entire bipolar fuzzy graph. The characteristics of bipolar fuzzy edge connectivity are obtained in terms of fuzzy theory and graph theory, and furthermore, we apply it to the topology designing of bipolar fuzzy network.

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“…The reason why the mathematical theory and application technology of fuzzy systems can be focused by researchers and has been rapidly developed in the past 60 years is mainly due to the extensive and profound application background in human society and production practice [1][2][3][4][5][6]. The development of the mathematical theory of fuzzy systems largely depends on the development of fuzzy engineering technology and application.…”

Section: Introductionmentioning

confidence: 99%

Remarks on Wiener Index of Bipolar Fuzzy Incidence Graphs

Gong

Hua

2021

Front. Phys.

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Fuzzy data plays an important role in daily life, and fuzzy structured data is usually represented by fuzzy graphs, where the graph structure is used to describe the associated structure of the fuzzy data. Based on the definition of Wiener index on bipolar fuzzy incidence graphs, this article continues to study the characteristics of this distance based topological index. The lower and upper bounds for positive and negative Wiener index of fuzzy bipolar incidence graph are determined respectively, and the relationship of Wiener index between original graph and its subgraph is discussed. The Wiener absolute index on bipolar fuzzy incidence graph is introduced accordingly, and several conclusions are determined in terms of geodesics distance analysis. Furthermore, we demonstrate the equality of Wiener index and Wiener absolute index for two isomorphic bipolar fuzzy incidence graphs.

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Adaptive observer-based H∞ FTC for T-S fuzzy systems. Application to cart motion model

Cited by 11 publications

References 47 publications

Robust fault estimation for polynomial systems with time delay via a polynomial adaptive observer

Robust fault estimation for polynomial systems with time delay via a polynomial adaptive observer

Fuzzy edge connectivity in bipolar fuzzy networks and the applications in topology design

Remarks on Wiener Index of Bipolar Fuzzy Incidence Graphs

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