Dissipative Sampled-Data Control for High-Speed Train Systems With Quantized Measurements

Cai, Xiao; Shi, Kaibo; Zhong, Shouming; Pang, Xuanrong

doi:10.1109/tits.2021.3052940

Cited by 48 publications

(16 citation statements)

References 50 publications

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“…One reason for this lack of attention is the inherent difficulty in understanding this issue, particularly by economists [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. Another reason for the lack of serious attention to RP is the low production price compared to active power [ 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ]. However, according to economics and market calculations, RP is not less valuable than active power [ 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

Syah

Mianaei

Elveny

et al. 2021

Sensors

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The power system planning problem considering system loss function, voltage profile function, the cost function of FACTS (flexible alternating current transmission system) devices, and stability function are investigated in this paper. With the growth of electronic technologies, FACTS devices have improved stability and more reliable planning in reactive power (RP) planning. In addition, in modern power systems, renewable resources have an inevitable effect on power system planning. Therefore, wind resources make a complicated problem of planning due to conflicting functions and non-linear constraints. This confliction is the stochastic nature of the cost, loss, and voltage functions that cannot be summarized in function. A multi-objective hybrid algorithm is proposed to solve this problem by considering the linear and non-linear constraints that combine particle swarm optimization (PSO) and the virus colony search (VCS). VCS is a new optimization method based on viruses’ search function to destroy host cells and cause the penetration of the best virus into a cell for reproduction. In the proposed model, the PSO is used to enhance local and global search. In addition, the non-dominated sort of the Pareto criterion is used to sort the data. The optimization results on different scenarios reveal that the combined method of the proposed hybrid algorithm can improve the parameters such as convergence time, index of voltage stability, and absolute magnitude of voltage deviation, and this method can reduce the total transmission line losses. In addition, the presence of wind resources has a positive effect on the mentioned issue.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

Syah

Mianaei

Elveny

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The physical architecture of the client is to connect various data collection devices with the collection client to obtain the connection from the client to the collection server [9,10]. The physical architecture of the client is shown in Figure 3.…”

Section: Internet Of Things Resource Sharing Protection Methodsmentioning

confidence: 99%

[Retracted] Legal Protection of Artificial Intelligence Data and Algorithms from the Perspective of Internet of Things Resource Sharing

Wang

2021

Wireless Communications and Mobile Computing

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There are few laws and regulations related to privacy protection in the existing artificial intelligence data sharing environment, lack of practical operability, and low feasibility. The weakening of administrative management and industry self-discipline also reflects my country’s current weak protection of big data privacy. In order to solve the problem of sharing artificial intelligence data and algorithms, it becomes very important to study the legal protection of artificial intelligence data and algorithms from the perspective of Internet of Things resource sharing. This article is aimed at studying the use of laws to protect artificial intelligence data and algorithms. Aiming at reducing the bullwhip effect, a most effective bullwhip effect model derivation algorithm is proposed. This method can not only share customer demand information with members at all levels in the supply chain but also achieve information sharing among members at all levels. Calculate the proportion of the overall time of the program through multiple statistical data ( m = 30 , k = 12 ; and m = 60 , k = 15 ), and extract two special values representing the overall situation ( m = 30 , k = 12 ; m = 60 , k = 15 ). Most of the time consumption of this program is concentrated in the secret distribution stage, accounting for about 80% on average.

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“…When the overseas retailer only purchases from the crossborder supplier, if the crossborder supplier has supply interruption, then the crossborder supplier cannot provide products to the overseas retailer at all, and the purchase 3 Wireless Communications and Mobile Computing quantity is 0, and then the expected profit function of the overseas retailer is Eðπ ky s Þ [38][39][40].…”

Section: Crossborder Suppliers As the Sole Source Of Procurementmentioning

confidence: 99%

[Retracted] Mobile Communication Procurement Platform Optimization Decision Based on Overseas Retailer Investment under Supply and Demand Disruption Risk

Wang

2021

Wireless Communications and Mobile Computing

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With the rapid development of mobile communication procurement platform, it is faced with many risks, such as national policy differences, regional market differentiation, trade control, and technical barriers. Among them, the risk of supply and demand interruption will lead to the disconnection between upstream and downstream enterprises and consumers in the crossborder supply chain, making it difficult for them to achieve the profit target of the supply chain and meet the market demand. In order to reduce the risk of supply and demand disruption in mobile communication procurement platform and improve the ability to prevent and deal with disruption emergencies, a two-level supply chain composed of crossborder suppliers, overseas suppliers, and overseas retailers is established, and the procurement decision optimization of crossborder supply chain under the condition of single channel procurement and dual channel procurement before and after investment is studied. The research show that when overseas retailers invest in crossborder suppliers and choose a dual-source ordering strategy, it is more conducive to overseas retailers to reduce the risk of crossborder supply chain interruption and obtain higher expected profits.

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Dissipative Sampled-Data Control for High-Speed Train Systems With Quantized Measurements

Cited by 48 publications

References 50 publications

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

[Retracted] Legal Protection of Artificial Intelligence Data and Algorithms from the Perspective of Internet of Things Resource Sharing

[Retracted] Mobile Communication Procurement Platform Optimization Decision Based on Overseas Retailer Investment under Supply and Demand Disruption Risk

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