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Journal articles on the topic 'Delay-based control'

Author: Grafiati
Published: 17 January 2023

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1

Hetel, L., J. Daafouz, J. P. Richard, and M. Jungers. "Delay-dependent sampled-data control based on delay estimates." Systems & Control Letters 60, no. 2 (February 2011): 146–50. http://dx.doi.org/10.1016/j.sysconle.2010.12.001.

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2

Kung, H. T., Koan-Sin Tan, and Pai-Hsiang Hsiao. "TCP with sender-based delay control." Computer Communications 26, no. 14 (September 2003): 1614–21. http://dx.doi.org/10.1016/s0140-3664(03)00110-5.

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3

Tian, Zhongda. "Networked control system time-delay compensation based on PI-based dynamic matrix control." at - Automatisierungstechnik 69, no. 1 (January 1, 2021): 41–51. http://dx.doi.org/10.1515/auto-2020-0020.

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Abstract The network-induced time-delay caused by the introduction of the communication network in a networked control system has a great negative impact on the stability and performance of the system. In order to compensate for the performance degradation of the networked control system caused by time-delay, a time-delay compensation method based on PI-based dynamic matrix control for networked control system is proposed. In this study, autoregressive integrated moving average model is used to predict the future time-delay. The predictive time-delay replaces the actual time-delay as a parameter of the controller. In order to improve the compensation effect of dynamic matrix control, the feedback structure of the PI control and the predictive ability of dynamic matrix control are combined. The new objective function of dynamic matrix control is combined with PI structure to obtain the optimal control increment value. The PI controller can correct the output of dynamic matrix control and reduce the deviation between the actual output and the predicted output. The effect of the model mismatch and interference on the system is reduced. The robustness and anti-interference performance of the system is improved. The controller can select the appropriate control value to transmit to the actuator to compensate for the effect of the random time-delay in the networked control system. The stability of the compensation method is proved. Through the simulation results, the effectiveness of the proposed time-delay compensation method is verified.
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4

Jin, Jae-Hyun, Chang-Sun Yoo, Hyeok Ryu, and Min-Jea Tahk. "Fault Tolerant Flight Control Based on Time Delay Control." Journal of the Korean Society for Aeronautical & Space Sciences 33, no. 12 (December 31, 2005): 54–60. http://dx.doi.org/10.5139/jksas.2005.33.12.054.

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5

Liu, Pin-Lin. "Observer-based Control for Time–varying Delay Systems with Delay-dependence." Universal Journal of Electrical and Electronic Engineering 1, no. 2 (August 2013): 31–40. http://dx.doi.org/10.13189/ujeee.2013.010204.

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6

Guo, Wenlan, Jin Huang, and Yun Zhang. "Delay-based Congestion Control for Multipath TCP." International Journal of Future Generation Communication and Networking 7, no. 1 (February 28, 2014): 97–104. http://dx.doi.org/10.14257/ijfgcn.2014.7.1.10.

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7

Li, Qihao, Ning Zhang, Michael Cheffena, and Xuemin Shen. "Channel-Based Optimal Back-Off Delay Control in Delay-Constrained Industrial WSNs." IEEE Transactions on Wireless Communications 19, no. 1 (January 2020): 696–711. http://dx.doi.org/10.1109/twc.2019.2948156.

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8

Heyden, Martin, Richard Pates, and Anders Rantzer. "Price Based Linear Quadratic Control Under Transportation Delay." IFAC-PapersOnLine 53, no. 2 (2020): 3192–97. http://dx.doi.org/10.1016/j.ifacol.2020.12.1077.

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9

XIAO, Jun, Xiao-Chun YUN, and Yong-Zheng ZHANG. "Flash Crowd Control Model Based on Time Delay." Journal of Software 22, no. 11 (November 14, 2011): 2795–809. http://dx.doi.org/10.3724/sp.j.1001.2011.03922.

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10

Golmohammadi, Rostam, Jamshid Rahimi, Saeid Hossien Mossavi, and Hossien Mahjub. "Time delay based noise control in centrifugal fans." Noise Notes 7, no. 3 (July 2008): 27–34. http://dx.doi.org/10.1260/147547308786238386.

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11

Kowalczuk, Zdzisław, and Piotr Suchomski. "Robust Predictive Control Based on Overparameterised Delay Models." IFAC Proceedings Volumes 30, no. 16 (June 1997): 485–90. http://dx.doi.org/10.1016/s1474-6670(17)42653-x.

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12

Huang, Ling, Rui Tang, Pei Xia, and Cheng Tan. "Control Method Based On Long Time-delay System." Journal of Physics: Conference Series 1605 (August 2020): 012027. http://dx.doi.org/10.1088/1742-6596/1605/1/012027.

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13

Golmohammadi, Rostam, Jamshid Rahimi, Saeid Hossien Mossavi, and Hossien Mahjub. "Time Delay Based Noise Control in Centrifugal Fans." Noise & Vibration Worldwide 39, no. 4 (April 2008): 16–19. http://dx.doi.org/10.1260/095745608784426384.

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14

Dixit, Vinayak, Divya Jayakumar Nair, Sai Chand, and Michael W. Levin. "A simple crowdsourced delay-based traffic signal control." PLOS ONE 15, no. 4 (April 7, 2020): e0230598. http://dx.doi.org/10.1371/journal.pone.0230598.

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15

Haeri, Mohammad, and Amir Hamed Mohsenian Rad. "Adaptive model predictive TCP delay-based congestion control." Computer Communications 29, no. 11 (July 2006): 1963–78. http://dx.doi.org/10.1016/j.comcom.2005.12.004.

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16

Ge, Shuzhi Sam, Thanh Long Vu, and Tong Heng Lee. "Quantum Measurement-Based Feedback Control: A Nonsmooth Time Delay Control Approach." SIAM Journal on Control and Optimization 50, no. 2 (January 2012): 845–63. http://dx.doi.org/10.1137/100801287.

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17

Li, Shu De, Yi Chen, and Cai Xia Liu. "Smith Predictor Based on Predicting Induced-Delay." Advanced Materials Research 201-203 (February 2011): 2003–6. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.2003.

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Since communication network is introduced into control system, induced-delay appears. Because of the delay, the performance of networked control system becomes bad, even unsteady. Conventional Smith predictor is sensitive to error in object model and needs delay’s value in advance. Regarding random delay, its application is limited. In this paper, we propose a method based on induced-delay predicted by BP neural network, which use two historical delay values to predict the next one. Smith predictor adjusts its parameters according to that value in time. The simulating results indicate that the precision of delay-predicting can be ensured and the performance of networked control system has been improved.
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18

Xie, Pei Zhang, and Xing Peng Zhou. "Research on Chlorine Dosing Control Based on Adaptive Generalized Predictive Control." Applied Mechanics and Materials 415 (September 2013): 89–94. http://dx.doi.org/10.4028/www.scientific.net/amm.415.89.

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Chlorine dosing is a complicated system with time delay, time-varying, non-linear and coupling. In this paper, multivariable adaptive generalized predictive controller based on Smith predictor is proposed. Instead of the optimal predictor, the Smith predictor with adaptive identifying parameters can increase the robustness of the MIMO system. Simulation and application in water-works at Suzhou (China) shows that the algorithm can overcome time-varying, time delay and disturbance.
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19

Feng, Zhen, Jia Liu, and Jing Jing Xiong. "Application of GPC Algorithm Based on Network Delay." Advanced Materials Research 546-547 (July 2012): 972–76. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.972.

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Aiming at the problem of the network delay, this paper presents a kind of application of generalized predictive control algorithm in networked control systems. The algorithm applys future control signal predicted by MPC (model predictive control) to compensating for the delay or interruption in forward channel, and the delay in feedback channel with a predictor at the same time. The paper describes the control characteristic and discusses the stability of network control system, and verificates the algorithm's feasible and effective characteristics in networked control systems through the simulation.
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20

Chen, Baiming, Mengdi Xu, Liang Li, and Ding Zhao. "Delay-aware model-based reinforcement learning for continuous control." Neurocomputing 450 (August 2021): 119–28. http://dx.doi.org/10.1016/j.neucom.2021.04.015.

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21

Wang, Rui Qi, Ke Hua Li, Heng Li, and Chang Jun Xia. "Delay Independent Control of Bilateral Teleoperation Based on LMI." Applied Mechanics and Materials 138-139 (November 2011): 498–503. http://dx.doi.org/10.4028/www.scientific.net/amm.138-139.498.

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This paper presents a delay independent algorithm for bilateral control system which necessary uses for achieving in teleoperation. The system uses a state space expression to implement error dynamic equation with a tow channel structure. Then, several linearity matrix inequations (LMI) called stabilization theorem are constructed. Lyaponov function method is used to prove the stabilization theorem. Experimental results show that our approach is valid and has encouraging stabilization performance.
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22

Verma, Lal Pratap, Varun Kumar Sharma, Mahesh Kumar, and Dimitris Kanellopoulos. "A novel Delay-based Adaptive Congestion Control TCP variant." Computers and Electrical Engineering 101 (July 2022): 108076. http://dx.doi.org/10.1016/j.compeleceng.2022.108076.

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23

D'Aronco, Stefano, Laura Toni, Sergio Mena, Xiaoqing Zhu, and Pascal Frossard. "Improved Utility-Based Congestion Control for Delay-Constrained Communication." IEEE/ACM Transactions on Networking 25, no. 1 (February 2017): 349–62. http://dx.doi.org/10.1109/tnet.2016.2587579.

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24

Shahdi, Ali, and Shahin Sirouspour. "Model-based Decentralized Control of Time-delay Teleoperation Systems." International Journal of Robotics Research 28, no. 3 (March 2009): 376–94. http://dx.doi.org/10.1177/0278364908096955.

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25

Liu, Yuxin, Danhong Zhu, and Dong Zhang. "Delay-based virtual congestion control in multi-tenant datacenters." IOP Conference Series: Materials Science and Engineering 322 (March 2018): 052040. http://dx.doi.org/10.1088/1757-899x/322/5/052040.

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26

KUBO, Seiji, Toshimitsu USHIO, and Shigeru YAMAMOTO. "Robust PID Rate-Based Control for Propagation Delay Variation." Transactions of the Institute of Systems, Control and Information Engineers 16, no. 8 (2003): 415–20. http://dx.doi.org/10.5687/iscie.16.415.

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27

Pipeleers, G., J. Swevers, J. De Schutter, and B. Demeulenaere. "Generalised repetitive control: relaxing the period-delay-based structure." IET Control Theory & Applications 3, no. 11 (November 1, 2009): 1528–36. http://dx.doi.org/10.1049/iet-cta.2008.0499.

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28

Dumitrache, I., I. Mihu, and Gh Musca. "Control of Time-Delay processes Based on Smith Predictors." IFAC Proceedings Volumes 30, no. 27 (October 1997): 411–16. http://dx.doi.org/10.1016/s1474-6670(17)41217-1.

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29

Zítek, Pavel, and Tomáš Vyhlídal. "Quasi-polynomial based design of time delay control systems." IFAC Proceedings Volumes 36, no. 19 (September 2003): 233–38. http://dx.doi.org/10.1016/s1474-6670(17)33331-1.

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30

Sahraoui, Zakaria, Emmanuel Grolleau, Driss Mehdi, Mohamed Ahmed-Nacer, and Abdenour Labed. "Predictive-delay control based on real-time feedback scheduling." Simulation Modelling Practice and Theory 66 (August 2016): 16–35. http://dx.doi.org/10.1016/j.simpat.2016.02.013.

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31

Zhi-zhao, Zhou, and Han Zheng-zhi. "Transmission delay based control over networks with wireless links." Wuhan University Journal of Natural Sciences 7, no. 4 (December 2002): 431–36. http://dx.doi.org/10.1007/bf02828244.

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32

HUA, C., F. LI, and X. GUAN. "Observer-based adaptive control for uncertain time-delay systems." Information Sciences 176, no. 2 (January 20, 2006): 201–14. http://dx.doi.org/10.1016/j.ins.2004.08.003.

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33

Phadke, S. B., and S. E. Talole. "Sliding Mode and Inertial Delay Control Based Missile Guidance." IEEE Transactions on Aerospace and Electronic Systems 48, no. 4 (October 2012): 3331–46. http://dx.doi.org/10.1109/taes.2012.6324711.

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34

Estrada-Sánchez, I., M. Velasco-Villa, and H. Rodríguez-Cortés. "Prediction-Based Control for Nonlinear Systems with Input Delay." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/7415418.

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This work has two primary objectives. First, it presents a state prediction strategy for a class of nonlinear Lipschitz systems subject to constant time delay in the input signal. As a result of a suitable change of variable, the state predictor asymptotically provides the value of the state τ units of time ahead. Second, it proposes a solution to the stabilization and trajectory tracking problems for the considered class of systems using predicted states. The predictor-controller convergence is proved by considering a complete Lyapunov functional. The proposed predictor-based controller strategy is evaluated using numerical simulations.
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35

Cavendish, Dirceu, Yuji Oie, Masayuki Murata, and Hideo Miyahara. "Proportional rate-based congestion control under long propagation delay." International Journal of Communication Systems 8, no. 2 (March 1995): 79–89. http://dx.doi.org/10.1002/dac.4500080202.

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36

Testa, Claudio, and Dario Rossi. "Delay-based congestion control: Flow vs. BitTorrent swarm perspectives." Computer Networks 60 (February 2014): 115–28. http://dx.doi.org/10.1016/j.bjp.2013.12.018.

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37

Zhou, Jiaxi, Daolin Xu, Jing Zhang, and Chunrong Liu. "Spectrum optimization-based chaotification using time-delay feedback control." Chaos, Solitons & Fractals 45, no. 6 (June 2012): 815–24. http://dx.doi.org/10.1016/j.chaos.2012.02.015.

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38

Ge, S. S., and K. P. Tee. "Approximation-based control of nonlinear MIMO time-delay systems." Automatica 43, no. 1 (January 2007): 31–43. http://dx.doi.org/10.1016/j.automatica.2006.08.003.

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39

Gao, Huijun, Tongwen Chen, and James Lam. "A new delay system approach to network-based control." Automatica 44, no. 1 (January 2008): 39–52. http://dx.doi.org/10.1016/j.automatica.2007.04.020.

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40

Chen, Jenq‐Der. "Delay‐dependent observer‐based control design of uncertain time‐delay systems: An LMI approach." Journal of the Chinese Institute of Engineers 30, no. 3 (April 2007): 401–9. http://dx.doi.org/10.1080/02533839.2007.9671268.

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41

Liu, Hao, Yi Shen, and Xudong Zhao. "Delay-dependent observer-based finite-time control for switched systems with time-varying delay." Nonlinear Analysis: Hybrid Systems 6, no. 3 (August 2012): 885–98. http://dx.doi.org/10.1016/j.nahs.2012.03.001.

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42

Jiang, Xiefu, Wenli Xu, and Qing-Long Han. "Observer-based fuzzy control design with adaptation to delay parameter for time-delay systems." Fuzzy Sets and Systems 152, no. 3 (June 2005): 637–49. http://dx.doi.org/10.1016/j.fss.2004.11.015.

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43

Wu, Huai-Ning. "Delay-dependent fuzzy observer-based control for discrete-time nonlinear systems with state delay." Fuzzy Sets and Systems 159, no. 20 (October 2008): 2696–712. http://dx.doi.org/10.1016/j.fss.2007.12.029.

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44

Chen, Jenq-Der, Chyi-Da Yang, Chang-Hua Lien, and Ji-Hwei Horng. "New delay-dependent non-fragile H∞ observer-based control for continuous time-delay systems." Information Sciences 178, no. 24 (December 2008): 4699–706. http://dx.doi.org/10.1016/j.ins.2008.08.009.

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45

Chen, Yang, and Wenyuan Li. "Compact and Broadband Variable True-Time Delay Line with DLL-Based Delay-Time Control." Circuits, Systems, and Signal Processing 37, no. 3 (July 11, 2017): 1007–27. http://dx.doi.org/10.1007/s00034-017-0594-6.

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46

Deng, Yanni, Weihua Gui, and Yongfang Xie. "LMI-based delay-dependent robust control for value bounded uncertain systems with time delay." Wuhan University Journal of Natural Sciences 14, no. 2 (March 8, 2009): 109–14. http://dx.doi.org/10.1007/s11859-009-0203-z.

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47

KUNIMATSU, Sunao, Takehiro ISEI, M. Ali, E. FARSANGI, Sevket DURUCAN, and Geoff JOHNSTON. "Numerical Estimation Ground Vibration Control Method Based on Precise Delay Time Control." Shigen-to-Sozai 113, no. 2 (1997): 100–106. http://dx.doi.org/10.2473/shigentosozai.113.100.

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48

Kobayshi, Koji, and Yutaka Uchimura. "Model based Predictive Control for Tele-operational Control System with Time Delay." IEEJ Transactions on Industry Applications 138, no. 4 (2018): 323–29. http://dx.doi.org/10.1541/ieejias.138.323.

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49

Ding, Chunyan, and Qin Li. "Delay-dependent dissipative control for stochastic singular systems with state delay." Archives of Control Sciences 23, no. 3 (September 1, 2013): 281–93. http://dx.doi.org/10.2478/acsc-2013-0017.

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Abstract The problem of delay-dependent dissipative analysis and control for stochastic singular systems with state delay is investigated in this paper. Delay-dependent dissipative condition for the stochastic singular systems with state delay is obtained by employing singular stochastic Lyapunov and LMI-based methods. Based on this condition, a delay-dependent dissipative controller is presented. A numerical example is provided to demonstrate the effectiveness of the proposed approach.
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50

Ding, Xingya, Gang Shen, Xiang Li, and Yu Tang. "Delay compensation position tracking control of electro-hydraulic servo systems based on a delay observer." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 5 (September 9, 2019): 622–33. http://dx.doi.org/10.1177/0959651819871149.

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In this article, the position control problem of electro-hydraulic servo systems with feedback signal transmission delay is studied. In order to improve the control accuracy of the system, a hybrid controller which combines a delay observer, a nonlinear disturbance observer and a backstepping controller is proposed. The controller has the characteristics of compensating the delay of signal transmission, restraining the uncertain disturbance of control systems and high control precision. In order to verify the stability and validity of the proposed hybrid controller, a single-degree-of-freedom electro-hydraulic shaking table is used to verify the experimental results. The experimental results show that the proposed controller has better control effects than proportional integral derivative and backstepping controller.
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