Secure consensus of multi-agent systems with redundant signal and communication interference via distributed dynamic event-triggered control

Zhao, Can; Liu, Xinzhi; Zhong, Shouming; Shi, Kaibo; Liao, Daixi; Zhong, Qishui

doi:10.1016/j.isatra.2020.11.030

Cited by 79 publications

(32 citation statements)

References 31 publications

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“…e advantages of a decision tree algorithm include easy understanding, simple data preparation, the ability to process both data and regular attributes, easy derivation of logical expressions, strong data source analysis capability, and so on [10,11]. And its disadvantage is mainly that for data with inconsistent sample sizes for each category, in the decision tree, the results of the information gain are biased toward those with more values.…”

Section: Decision Tree Classification Algorithmmentioning

confidence: 99%

Construction of the Luxury Marketing Model Based on Machine Learning Classification Algorithm

Chen¹,

Cai

2021

Scientific Programming

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China has become the world’s largest luxury goods consumer market due to its population base. In view of the bright prospects of the luxury consumer market, major companies have entered and want to get a share. For the luxury goods industry, traditional mass marketing methods are not able to serve corporate sales and marketing strategies more effectively, and targeted marketing is clearly much more efficient than randomized marketing. Therefore, in this paper, based on consumer buying habits and characteristics data of luxury goods, the paper uses a machine learning algorithm to build a personalized marketing strategy model. And the paper uses historical data to model and form deductions to predict the purchase demand of each consumer and evaluate the possibility of customers buying different goods, including cosmetics, jewelry, and clothing.

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Section: Decision Tree Classification Algorithmmentioning

confidence: 99%

Construction of the Luxury Marketing Model Based on Machine Learning Classification Algorithm

Chen¹,

Cai

2021

Scientific Programming

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“… Energy-aware FL has some challenges such as finding a deep relationship between energy consumption features and reliability factors. Applying a standard and optimal blockchain framework is a main open issue to support minimum failures in the smart environments [ 75 ]. In medical IoT environments, the historical-based feature selection on the private health records is an open issue to achieve the optimal accuracy of the prediction procedure.…”

Section: Future Work and Open Issuesmentioning

confidence: 99%

Section: Future Work and Open Issuesmentioning

confidence: 99%

Blockchain-based federated learning methodologies in smart environments

2021

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“…e use of an electrical system design optimization has become a common practical approach [11][12][13][14]. Several optimization strategies have been developed in the literature [15,16].…”

Section: Implementation and Algorithm Validationmentioning

confidence: 99%

Frequency and Time-Domain Comparison between LCL and LLCL Filters for a Grid-Connected Inverter Using Selective Harmonic Modulation

Chakroun

Ayed

Derbel

2021

Mathematical Problems in Engineering

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This paper shows a comparison between the analytical design of a photovoltaic power station filter and a real-case filter. Indeed, the analytical filter considered in the design phase is an LCL filter, while the real case is an LLCL filter. This difference could impact the current harmonics rejected on the grid and breaks grid codes. The main objective of this study is to maximize the power injected into the network while respecting the harmonic rejection standards in force, namely, G5/4, French decree of 2008, and IEEE 519 standards, by adopting a current control design to improve the performance of a grid-connected three-phase inverter, which is regarded as the central component in a photovoltaic production system. The selective harmonic modulation strategy (SHM) is a common technique to achieve this goal. For that, a frequency and a time-domain comparison for a grid-connected inverter using both filters have been highlighted. Simulation results confirm the excellent transient behavior of both filter topologies and the advantage to consider the flexibility of LLCL filter when combined with SHM strategy. This manuscript is an extension of an earlier version of “Comparison between LCL and LLCL Filters for a Grid Connected Inverter Using Selective Harmonic Modulation.”

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Secure consensus of multi-agent systems with redundant signal and communication interference via distributed dynamic event-triggered control

Cited by 79 publications

References 31 publications

Construction of the Luxury Marketing Model Based on Machine Learning Classification Algorithm

Construction of the Luxury Marketing Model Based on Machine Learning Classification Algorithm

Blockchain-based federated learning methodologies in smart environments

Frequency and Time-Domain Comparison between LCL and LLCL Filters for a Grid-Connected Inverter Using Selective Harmonic Modulation

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