Academic literature on the topic 'Data packet dropouts'

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Journal articles on the topic "Data packet dropouts"

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Qi, Xiaomei, and Jason Gu. "Integrity Design for Networked Control Systems with Actuator Failures and Data Packet Dropouts." Journal of Control Science and Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/327525.

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The integrity design problem of fault tolerant control for networked control system (NCS) with actuator failures and data packet dropouts is investigated. The data packet dropouts in both sensor-controller (S-C) and controller-actuator (C-A) links are described by two switches, which can be modeled as a discrete event system with known rate. After introducing the matrix of actuator failure, the closed-loop NCS is developed, which can be viewed as asynchronous dynamical systems (ADSs). Then, the sufficiency of exponential stability for the NCS is obtained based on the theory of ADSs. The output feedback controllers that can guarantee system stability are also proposed. Finally, two numerical examples are given to demonstrate the validity of our proposed approach.
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Yang, Li Xin, Li Jun Zhang, Li Dong Guo, and He Ming Jia. "Optimal Estimation for Multiple Packet Dropouts Systems with Colored Measurement Noise." Applied Mechanics and Materials 135-136 (October 2011): 649–54. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.649.

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This paper is concerned with the optimal estimation problem for multiple packet dropouts systems with colored measurement noise. Using the latest received measurement value to replace the current missing data. Then, based on the augmented state space model, the optimal estimators including filter, predictor and smoother are developed via an innovation analysis approach for multiple packet dropouts systems with white and colored measurement noises. Finally, simulation results show the effectiveness and superiority of the proposed estimators.
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Wu, Ligang, Zibao Lu, and Ge Guo. "Analysis, Synthesis and Experiments of Networked Platoons with Communication Constraints." PROMET - Traffic&Transportation 29, no. 1 (February 13, 2017): 35–44. http://dx.doi.org/10.7307/ptt.v29i1.1969.

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This paper investigates the analysis and synthesis of networked vehicle platoons with communication delays, packet dropouts and disorders. In order to deal with the effects of the communication constraints, we introduce a novel Smart Data Processor (SDP) for each vehicle, by which the latest data packets from logic Data Packet Processor and the matched data packet from its Buffer can be obtained. Based on this mechanism, a leader-predecessor-follower control strategy is proposed. In order to guarantee the asymptotic and string stability, the platoon control problem is transformed into a multi-objective H∞-type synthesis problem with the multiple time-varying delays. A sufficient condition for designing the controller gain is derived by solving a set of linear matrix inequalities. Numerous simulations and experiments with laboratory scale Arduino cars show the efficiency of the proposed methods.
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Xia, Yuanqing, Li Dai, Wen Xie, and Yulong Gao. "Network-Based Data-Driven Filtering With Bounded Noises and Packet Dropouts." IEEE Transactions on Industrial Electronics 64, no. 5 (May 2017): 4257–65. http://dx.doi.org/10.1109/tie.2016.2587246.

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Cai, Xiao, Shouming Zhong, Jun Wang, and Kaibo Shi. "New stability results for delayed neural networks with data packet dropouts." Physica A: Statistical Mechanics and its Applications 555 (October 2020): 124727. http://dx.doi.org/10.1016/j.physa.2020.124727.

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Wang and Sun. "Self-Tuning Distributed Fusion Filter for Multi-Sensor Networked Systems with Unknown Packet Receiving Rates, Noise Variances, and Model Parameters." Sensors 19, no. 20 (October 13, 2019): 4436. http://dx.doi.org/10.3390/s19204436.

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In this study, we researched the problem of self-tuning (ST) distributed fusion state estimation for multi-sensor networked stochastic linear discrete-time systems with unknown packet receiving rates, noise variances (NVs), and model parameters (MPs). Packet dropouts may occur when sensor data are sent to a local processor. A Bernoulli distributed stochastic variable is adopted to depict phenomena of packet dropouts. By model transformation, the identification problem of packet receiving rates is transformed into that of unknown MPs for a new augmented system. The recursive extended least squares (RELS) algorithm is used to simultaneously identify packet receiving rates and MPs in the original system. Then, a correlation function method is used to identify unknown NVs. Further, a ST distributed fusion state filter is achieved by applying identified packet receiving rates, NVs, and MPs to the corresponding optimal estimation algorithms. It is strictly proven that ST algorithms converge to optimal algorithms under the condition that the identifiers for parameters are consistent. Two examples verify the effectiveness of the proposed algorithms.
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Zhang, Yin Jun. "Data Loss for Power Line Communication of Nonlinear Systems Iterative Learning Control." Advanced Materials Research 1048 (October 2014): 537–40. http://dx.doi.org/10.4028/www.scientific.net/amr.1048.537.

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When we use power line as data carrier, due to the complexity of the PLC network environment, data packet loss frequently, so the paper deal with the iterative learning control for a class of nonlinear systems with measurement dropouts in the PLC, and studies the P-type iterative learning control algorithm convergence issues, the data packet loss is described as a stochastic Bernoulli process, on this basis we given convergence conditions for the P-type iterative learning control algorithm. The theoretically analysis is supported by the simulation of a numerical example; the convergence of ILC can be guaranteed when some output measurements are missing.
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Chen, Wen Ying. "Robust Η Controller Design for Networked Control Systems with Exponential Convergence." Applied Mechanics and Materials 475-476 (December 2013): 621–27. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.621.

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The output feedback exponential robust control for networked control systems with stochastic network-induced delay and packet dropout is studied. Firstly, a state observer is designed for estimating the state values and compensating data dropouts. Then the closed system is modeled as asynchronous dynamical system constrained by configuration event rate. By using Lyapunov principle, sufficient and necessary conditions for robust stability and exponential stability of the closed loop system is obtained and the output feedback controller design method is presented. Simulation example for the design is done, comparing with the other relative methods, the results shows the validity of the method.
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Xie, Xiangpeng, and Qiuhong Liu. "Multi-instant fuzzy control design of nonlinear networked systems with data packet dropouts." Neurocomputing 194 (June 2016): 151–56. http://dx.doi.org/10.1016/j.neucom.2016.01.084.

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Wang, Meng, Mao Wang, Jianbin Qiu, and Ligang Wu. "Robust Exponential Stabilization for Sampled-Data Systems with Variable Sampling and Packet Dropouts." Circuits, Systems, and Signal Processing 35, no. 10 (December 21, 2015): 3482–505. http://dx.doi.org/10.1007/s00034-015-0212-4.

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Dissertations / Theses on the topic "Data packet dropouts"

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Müntzing, Daniel. "Evaluating NMP Quality of Service : Experiment with JackTrip regarding Latency versus Packet Jitter/Dropouts with High Quality Audio via LAN and WAN." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16169.

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This study has developed a method to create an, to a big extent, automated testing system for NMP (Networked Music Performance) communication over LAN and WAN to be able to benchmark the UDP streaming engine JackTrip using a client-server model. The method is not locked into using JackTrip only, it could be used to do experiments with other engines too. The study tried to answer the question if latency correlates to amount of correctly aligned audio, and to what extent the audio is correctly aligned in respect to tolerated latency (based on earlier research) when at least two musicians remote-conducting musical pieces together. There were 13 different buffer settings tested, which used no redundancy and redundancy of 2, and which were sent through 4 different LAN/WAN-scenarios. A big dataset was produced, with about 82 minutes’ worth of audio per test. To post-process the data a phase cancelling method was used to measure correctly aligned audio, while the latency was measured by counting the number of samples from the start of each audio file to the first sample that were not null or not under a certain threshold. The results showed clear correlations of buffer sizes impact of latency and amount of correctly audio sent over the network. If the buffer sizes are greater, it will produce higher latency and increase the amount of correctly aligned audio, and on the opposite side, if using less buffer, it will produce lower latencies and less correctly aligned amount of audio. The study also showed that there was very little impact of using higher redundancies, both regarding latency and amount of correctly audio. When analysing the amount of correct data when respecting the tolerated level of latency, the study showed a support for correctly aligned amount of streamed audio up to 65% when using JackTrip.
Den här studien har utvecklat en metod för att skapa ett, till stor del, automatiserat testsystem för NMP-kommunikation (Networked Music Performance) över LAN och WAN för att kunna prestandatesta den UDP-strömmande ljudmotorn JackTrip, med en klient-server-modell. Metoden är inte låst till att endast användas med JackTrip, den kan användas för att göra experiment med andra motorer också. Studien försökte svara på frågorna om latens korrelerar med mängden korrekt justerat ljud, och till hur stor del som ljudet är korrekt justerad med hänsyn till tolererbar latens (baserat på tidigare undersökning) när minst två musiker fjärrmusicerar tillsammans. Det testades 13 olika buffertinställningar, som använde ingen redundans samt med redundans på 2, och som kördes genom 4 olika LAN / WAN-scenarier. En stor datamängd producerades, med ca 82 minuters ljud per test. För att post-bearbeta data användes en fas-elimineringsmetod för att mäta mängden korrekt justerat ljud, medan latensen var uppmätt genom att räkna antalet samplingar från starten av varje ljudfil till den första samplingen som inte var innehållslös eller inte under ett specifikt tröskelvärde. Resultaten visade tydlig korrelation av buffertstorlekens påverkan av latens och mängd korrekt ljud skickat över nätverket. Om buffertstorlekarna är större kommer det att ge högre latens och öka mängden korrekt justerat ljud, och tvärtom, om mindre buffert används, kommer det att ge lägre latens och mindre rätt justerad mängd ljud. Studien visade också att det gav mycket liten effekt att använda högre redundans, både vad gällande latens och mängden korrekt ljud.  Vid analys av mängden korrekta data med hänsyn till den tolererade latensnivån visade studien ett stöd för korrekt justerat mängd av strömmat ljud upp till 65% vid användning av JackTrip.
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Quang, Tong Xuan, and 宋. 春. 光. "Propagation Analysis and Data Packet Dropout Compensation." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/n6ekqm.

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碩士
國立交通大學
電機資訊國際學位學程
101
ZigBee is a low-cost and low-power, wireless communications technology that can be used widely in the wireless sensor network (WSN) for consumer electronics. It is crucial to construct monitoring systems via the ZigBee WSN by applying signal propagation analysis and data dropout compensation to improve their reliability, especially in the indoor environment. Furthermore, the data dropout is also unavoidable, irregular, and unpredictable in nature. In this thesis, the propagation model is thus obtained through experiments in complex environments where the distance and the wall effect are taken into consideration. A computer graphics interface (CGI) system has been developed for monitoring each node status of the ZigBee WSN. In present study, experimental results indicate that the intelligent message estimator (IME) integrated with proposed the combined message design (CMD) has been applied to ZigBee transmission to successfully estimate the dropout data. Keywords: Propagation, monitoring application, data dropout
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(9798392), Xiao Hua Ge. "Distributed H-infinity filtering over sensor networks." Thesis, 2014. https://figshare.com/articles/thesis/Distributed_H-infinity_filtering_over_sensor_networks/13437116.

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"This dissertation takes a filtering oriented point of view and systematically addresses modeling, filtering performance analysis, and filter design issues over sensor networks with network induced constraints. The overall aim of this dissertation is to expand knowledge about theory and applications of sensor networks. More specifically, rigorous and systematic theoretical frameworks of distributed H1 filtering for estimating an unavailable state signal through noisy measurement and a disturbed plant over sensor networks are established. Furthermore, new filtering concepts, filtering theory, filter design methods, and filtering algorithms are proposed to deal with various network-induced constraints."
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Book chapters on the topic "Data packet dropouts"

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Han, Sumin, Fuzhong Wang, and Bin Cao. "Fusion Filter for Wireless Transmission with Random Data Packet Dropouts and Delays." In Lecture Notes in Electrical Engineering, 541–50. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6499-9_52.

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Yan-Feng, Wang, Li Zu-Xin, Chen Hui-Ying, and Qian Yi. "Output Feedback for Networked Control Systems with Time-Delay and Data Packet Dropout." In Proceedings of the 2015 Chinese Intelligent Automation Conference, 423–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46463-2_43.

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Conference papers on the topic "Data packet dropouts"

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Xie, Xiangpeng, Songlin Hu, and Jing Shi. "Control design of nonlinear networked systems under data packet dropouts." In 2016 12th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2016. http://dx.doi.org/10.1109/wcica.2016.7578729.

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Liu, Shuai, Guorong Zhao, and Chao Gao. "Moving Horizon Estimation for Networked Systems with Packet Dropouts Compensation." In 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2019. http://dx.doi.org/10.1109/icsidp47821.2019.9173335.

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Datar, Adwait, Daniel Schneider, Furugh Mirali, Herbert Werner, and Hannes Frey. "A Memory Weighted Protocol for Sampled-Data Systems Subjected to Packet Dropouts." In 2018 Annual American Control Conference (ACC). IEEE, 2018. http://dx.doi.org/10.23919/acc.2018.8431063.

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Feng, Yu, and Zhuoming Chen. "Distributed Robust Optimal Filter Design Over Sensor Networks With Data Packet Dropouts." In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2019. http://dx.doi.org/10.1109/cdc40024.2019.9029456.

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Chen, Kai, and Zhipei Hu. "Stabilization of Networked Systems with False Data Injection Attacks and Packet Dropouts." In 2021 China Automation Congress (CAC). IEEE, 2021. http://dx.doi.org/10.1109/cac53003.2021.9727651.

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Caruntu, Constantin F., and Razvan C. Rafaila. "Robust MPC for networked control systems with data-packet dropouts modeled as disturbances." In 2017 21st International Conference on System Theory, Control and Computing (ICSTCC). IEEE, 2017. http://dx.doi.org/10.1109/icstcc.2017.8107026.

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Lai, Yongbo, and Guoping Lu. "Robust H∞ control of singular systems over networks with data packet dropouts." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334733.

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Zhen, Shuo, Zhongsheng Hou, and Chenkun Yin. "A novel data-driven predictive control for networked control systems with random packet dropouts." In 2017 IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2017. http://dx.doi.org/10.1109/ddcls.2017.8068093.

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Yogarathinam, Amirthagunaraj, and Nilanjan Ray Chaudhuri. "Wide-Area Damping Control Using Multiple DFIG-Based Wind Farms Under Stochastic Data Packet Dropouts." In 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019. http://dx.doi.org/10.1109/pesgm40551.2019.8973683.

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Pang, Zhonghua, Cheng Lin, Guoping Liu, and Cunwu Han. "Data-driven networked predictive control of a class of nonlinear systems with random packet dropouts." In 2017 36th Chinese Control Conference (CCC). IEEE, 2017. http://dx.doi.org/10.23919/chicc.2017.8028614.

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