Synchronization of Lurie Systems Under Limited Network Transmission Capacity With Quantization and One-Step Packet Dropout: An Active Method

2019 ◽  
pp. 1-9 ◽  
Author(s):  
Tianwei Zhou ◽  
Zhiqiang Zuo ◽  
Yijing Wang ◽  
Hongchao Li
Keyword(s):  
Transmission Capacity ◽  
Packet Dropout ◽  
Active Method ◽  
One Step ◽  
Network Transmission

Optimal topologies for maximizing network transmission capacity

2018 ◽  
Vol 495 ◽  
pp. 191-201 ◽  
Author(s):  
Zhenhao Chen ◽  
Jiajing Wu ◽  
Zhihai Rong ◽  
Chi K. Tse
Keyword(s):  
Transmission Capacity ◽  
Network Transmission

α-Stabilization Criterion for Networked Control Systems

2013 ◽  
Vol 321-324 ◽  
pp. 1858-1862 ◽  
Author(s):  
Li Sheng Wei ◽  
Zhi Hui Mei ◽  
Ming Jiang
Keyword(s):  
Time Delay ◽  
Control Systems ◽  
Optimization Problem ◽  
Networked Control Systems ◽  
Lyapunov Stability Theory ◽  
Networked Control ◽  
Linear Matrix ◽  
Packet Dropout ◽  
Lmi Approach ◽  
Network Transmission

This study focus on α-Stability constraints for uncertain networked control systems (NCSs) subject to disturbance inputs, where the network transmission is connected with time-delay and packet dropout. The overall NCSs model is derived. In order to obtain much less conservative results, the sufficient condition for feasibility is presented in term of 2nd Lyapunov stability theory and a set of linear matrix inequalities (LMIs). This LMI approach can be the optimization problem of computation of the maximal allowed bound on the time-delay for NCSs.

Predictive Compensate Control for Remote Vehicle Steering Assist when the Driver is in Risky Driving States

2014 ◽  
Vol 1030-1032 ◽  
pp. 2073-2077
Author(s):  
Ming En Zhong ◽  
Han Chi Hong
Keyword(s):  
Traffic Accidents ◽  
Control Process ◽  
Steering System ◽  
Negative Influence ◽  
Packet Dropout ◽  
Risky Driving ◽  
Problem Model ◽  
Data Packets ◽  
Fuzzy Neural ◽  
Network Transmission

Remote vehicle steering assist is quite necessary for reducing traffic accidents when the driver is in risky driving states such as fatigue, drunk and so on. Communication such as internet, GPS and GSM is usually applied in this kind of remote control process. During network transmission, data packets were inevitably lost more or less, which has negative influence on the remote steering operation. In order to solve this problem, model of some remote steering system was built so as to analyze the steering quality. A packet dropout compensator was designed and applied from the aspect of predictive compensate control using hybrid pi-sigmoid fuzzy neural network. Simulation results showed that the compensator worked effectively to reduce the bad influence of packet dropout during remote vehicle steering procedure.

Analysis of Packet Transmission Delay in Vehicular DC-ARQ

2013 ◽  
Vol 336-338 ◽  
pp. 1722-1725
Author(s):  
Suo Ping Li ◽  
Yong Wei
Keyword(s):  
Information Transmission ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Packet Transmission ◽  
Transmission Delay ◽  
Transmission Capacity ◽  
Analytical Expression ◽  
Transmission Cycle ◽  
Delay Performance ◽  
Network Transmission

Considering the DC-ARQ mechanism, this paper discussed the information transmission cycle of between vehicle nodes in the vehicle and road environment, and obtained the analytical expression of delay performance for GBN-ARQ retransmission protocol. The results obtained in the paper provide a way to improve vehicle ad-hoc network transmission capacity.

scholarly journals UFIR Filtering Under Uncertain One-Step Delayed and Missing Data

2021 ◽  
Vol 16 ◽  
pp. 191-196
Author(s):  
Karen Uribe-Murcia ◽  
Yuriy S. Shmaliy
Keyword(s):  
Game Theory ◽  
Wireless Sensor Network ◽  
Missing Data ◽  
Finite Impulse Response ◽  
Measurement Data ◽  
Transmission Probability ◽  
Wireless Sensor ◽  
Packet Dropout ◽  
Bernoulli Distribution ◽  
One Step

This paper develops the unbiased finite impulse response (UFIR) filter for wireless sensor network (WSN) systems whose measurements are affected by random delays and packet dropout due to inescapable failures in the transmission and sensors. The Bernoulli distribution is used to model delays in arrived measurement data with known transmission probability. The effectiveness of the UFIR filter is compared experimentally to the KF and game theory recursive H1 filter in terms of accuracy and robustness employing the GPS-measured vehicle coordinates transmitted with latency over WSN.

scholarly journals Enhancing network transmission capacity by efficiently allocating node capability

2011 ◽  
Vol 390 (2) ◽  
pp. 387-391 ◽  
Author(s):  
Guo-Qing Zhang ◽  
Shi Zhou ◽  
Di Wang ◽  
Gang Yan ◽  
Guo-Qiang Zhang
Keyword(s):  
Transmission Capacity ◽  
Network Transmission

Multi-priority routing algorithm based on source node importance in complex networks

2019 ◽  
Vol 30 (07) ◽  
pp. 1940010
Author(s):  
Yu Bai ◽  
Ding-Ding Han ◽  
Ming Tang
Keyword(s):  
Routing Algorithm ◽  
Large Degree ◽  
Transmission Capacity ◽  
Source Node ◽  
Normal Operation ◽  
Data Packets ◽  
Node Importance ◽  
Routing Strategy ◽  
Network Transmission ◽  
Important Nodes

Network transmission capacity is an important guarantee for the normal operation of the network. The effective routing strategy avoids the use of nodes with large degree value, which leads to low utilization of nodes and failure to consider the priorities of different packets. On this basis, a routing algorithm based on packet source node classification is proposed. This strategy introduces an adjustable parameter. By adjusting this parameter, the data packets generated at the important nodes are transferred to the nodes with higher degree, which is to say they can reach the destination faster. The data packets generated at the sub-important nodes are transmitted by nodes with smaller degrees, thus reaching the destination relatively slowly. The routing strategy is evaluated in terms of order parameters, average routing time and node utilization. Compared with nonclassified routing and randomly classified routing strategy, the network transmission capacity was increased by 19% and 38%, respectively. Each node in the network was used more evenly. At the same time, the network transmission capacity under different parameters is analyzed theoretically through a series of derivations. In order to explore the performance of routing strategy in actual networks, this paper selects the actual network of web-EPA for simulation. The experimental results show that the proposed routing strategy is 7% and 17% higher than the nonclassified routing and random classified routing, respectively.

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