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Articles de revues sur le sujet « Delayed-input »

Auteur : Grafiati

Publié le 10 mars 2023

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1

Diagne, Mamadou, Nikolaos Bekiaris-Liberis, and Miroslav Krstic. "Compensation of input delay that depends on delayed input." Automatica 85 (November 2017): 362–73. http://dx.doi.org/10.1016/j.automatica.2017.07.069.

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2

Yoo, Han Woong, Soohee Han, and Young Sam Lee. "Receding HorizonH∞Control for Input-Delayed Systems." Mathematical Problems in Engineering 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/927213.

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We propose the receding horizonH∞control (RHHC) for input-delayed systems. A new cost function for a finite horizon dynamic game problem is first introduced, which includes two terminal weighting terms parameterized by a positive definite matrix, called a terminal weighing matrix. Secondly, the RHHC is obtained from the solution to the finite dynamic game problem. Thirdly, we propose an LMI condition under which the saddle point value satisfies the nonincreasing monotonicity. Finally, we show the asymptotic stability andH∞boundedness of the closed-loop system controlled by the proposed RHHC. The proposed RHHC has a guaranteedH∞performance bound for nonzero external disturbances and the quadratic cost can be improved by adjusting the prediction horizon length for nonzero initial condition and zero disturbance, which is not the case for existing memoryless state-feedback controllers. It is shown through a numerical example that the proposed RHHC is stabilizing and satisfies the infinite horizonH∞performance bound. Furthermore, the performance in terms of the quadratic cost is shown to be improved by adjusting the prediction horizon length when there exists no external disturbance with nonzero initial condition.

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3

Park, Jung Hun, Han Woong Yoo, Soohee Han, and Wook Hyun Kwon. "Receding Horizon Controls for Input-Delayed Systems." IEEE Transactions on Automatic Control 53, no. 7 (2008): 1746–52. http://dx.doi.org/10.1109/tac.2008.928320.

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4

Jin, Jaehyun, Min-Jea Tahk, and Changsu Park. "Time-delayed state and unknown input observation." International Journal of Control 66, no. 5 (1997): 733–46. http://dx.doi.org/10.1080/002071797224522.

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5

LEE, S. J., W. H. KWON, and S. W. KIM. "LQG/LTR methods for linear input-delayed systems." International Journal of Control 47, no. 5 (1988): 1179–94. http://dx.doi.org/10.1080/00207178808906086.

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6

Mattioni, Mattia, Salvatore Monaco, and Dorothee Normand-Cyrot. "Sampled-Data Reduction of Nonlinear Input-Delayed Dynamics." IEEE Control Systems Letters 1, no. 1 (2017): 116–21. http://dx.doi.org/10.1109/lcsys.2017.2710118.

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7

Saberi, Ali, Anton A. Stoorvogel, and Peddapullaiah Sannuti. "Exact, almost and optimal input decoupled (delayed) observers." International Journal of Control 73, no. 7 (2000): 552–81. http://dx.doi.org/10.1080/002071700219425.

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8

Mazenc, Frédéric, Sabine Mondié, and Silviu-Iulian Niculescu. "Global stabilization of oscillators with bounded delayed input." Systems & Control Letters 53, no. 5 (2004): 415–22. http://dx.doi.org/10.1016/j.sysconle.2004.05.018.

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9

Sun, Zong-Yao, Yanru Peng, and Changyun Wen. "Global stabilization of lower-triangular nonlinear systems with delayed input and delayed state." Journal of the Franklin Institute 357, no. 10 (2020): 5720–34. http://dx.doi.org/10.1016/j.jfranklin.2020.03.006.

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10

Hashmani, A. A., and I. Erlich. "Delayed-Input Power System Stabilizer using Supplementary Remote Signals." IFAC Proceedings Volumes 42, no. 9 (2009): 215–20. http://dx.doi.org/10.3182/20090705-4-sf-2005.00039.

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11

Lin, Zongli, and Haijun Fang. "On Asymptotic Stabilizability of Linear Systems With Delayed Input." IEEE Transactions on Automatic Control 52, no. 6 (2007): 998–1013. http://dx.doi.org/10.1109/tac.2007.899007.

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12

Coutinho, Daniel, Carlos E. de Souza, Joao Manoel Gomes da Silva, Andre F. Caldeira, and Christophe Prieur. "Regional Stabilization of Input-Delayed Uncertain Nonlinear Polynomial Systems." IEEE Transactions on Automatic Control 65, no. 5 (2020): 2300–2307. http://dx.doi.org/10.1109/tac.2019.2931952.

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13

Li, Xi, and Carlos E. de Souza. "Output feedback stabilization of linear systems with delayed input *." IFAC Proceedings Volumes 33, no. 23 (2000): 39–43. http://dx.doi.org/10.1016/s1474-6670(17)36913-6.

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14

Smith, Christian, and Patric Jensfelt. "A predictor for operator input for time-delayed teleoperation." Mechatronics 20, no. 7 (2010): 778–86. http://dx.doi.org/10.1016/j.mechatronics.2010.03.002.

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15

Zhu, Qing, Tianping Zhang, and Shumin Fei. "Adaptive tracking control for input delayed MIMO nonlinear systems." Neurocomputing 74, no. 1-3 (2010): 472–80. http://dx.doi.org/10.1016/j.neucom.2010.03.003.

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16

Hashmani, Ashfaque A., and István Erlich. "Delayed-input power system stabilizer using supplementary remote signals." Control Engineering Practice 19, no. 8 (2011): 893–99. http://dx.doi.org/10.1016/j.conengprac.2011.05.002.

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17

Du, Haiping, Nong Zhang, and James Lam. "Parameter-dependent input-delayed control of uncertain vehicle suspensions." Journal of Sound and Vibration 317, no. 3-5 (2008): 537–56. http://dx.doi.org/10.1016/j.jsv.2008.03.066.

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18

Hsieh, Chien-Shu. "Time-distributed multi-step delayed input and state estimation." Automatica 112 (February 2020): 108700. http://dx.doi.org/10.1016/j.automatica.2019.108700.

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19

Wei, Yusheng, and Zongli Lin. "Regulation of Linear Input Delayed Systems without Delay Knowledge." SIAM Journal on Control and Optimization 57, no. 2 (2019): 999–1022. http://dx.doi.org/10.1137/18m1196443.

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20

Albertos, Pedro, and Pedro García. "Optimal control of unstable input/output time-delayed systems." Optimal Control Applications and Methods 33, no. 4 (2011): 445–60. http://dx.doi.org/10.1002/oca.1007.

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21

Sung, MinDong, Sangchul Hahn, Chang Hoon Han, et al. "Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study." JMIR Medical Informatics 9, no. 11 (2021): e26426. http://dx.doi.org/10.2196/26426.

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Background In the era of artificial intelligence, event prediction models are abundant. However, considering the limitation of the electronic medical record–based model, including the temporally skewed prediction and the record itself, these models could be delayed or could yield errors. Objective In this study, we aim to develop multiple event prediction models in intensive care units to overcome their temporal skewness and evaluate their robustness against delayed and erroneous input. Methods A total of 21,738 patients were included in the development cohort. Three events—death, sepsis, and acute kidney injury—were predicted. To overcome the temporal skewness, we developed three models for each event, which predicted the events in advance of three prespecified timepoints. Additionally, to evaluate the robustness against input error and delays, we added simulated errors and delayed input and calculated changes in the area under the receiver operating characteristic curve (AUROC) values. Results Most of the AUROC and area under the precision-recall curve values of each model were higher than those of the conventional scores, as well as other machine learning models previously used. In the error input experiment, except for our proposed model, an increase in the noise added to the model lowered the resulting AUROC value. However, the delayed input did not show the performance decreased in this experiment. Conclusions For a prediction model that was applicable in the real world, we considered not only performance but also temporal skewness, delayed input, and input error.

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22

Mohammed, Abdeldafia M., Haoping Wang, and Yang Tian. "State observer for linear system with unknown input disturbance and sampled and delayed output with measurement noise." Transactions of the Institute of Measurement and Control 41, no. 3 (2018): 749–59. http://dx.doi.org/10.1177/0142331218770710.

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This paper addresses the sampled and unknown time-varying delayed output problem of the continuous-time linear system with unknown input disturbance and measurement noise. Based on the piecewise continuous hybrid system and extended functional observer, a robust hybrid extended observer is proposed to estimate the non-delayed continuous state from the sampled and delayed measurements when the time delay is unknown time-varying. The advantages of the designed observer are the quite simple structure, robustness to dealing with measurement noise, and ability to estimate the system state with accuracy under the influence of unknown input disturbance. Furthermore, the proposed observer is able to estimate the non-delayed continuous state and unknown input disturbance, in particular for the issue of fault estimation and perturbation disturbance simultaneously. The stability of the robust hybrid extended observer is illustrated and analyzed. Moreover, to show the effectiveness of the proposed observer, a comparison with the delayed Luenberger observer is performed via a numerical example. Finally, the simulation results are demonstrated.

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23

Jiang, Bangxin, Yijun Lou, and Jianquan Lu. "Input-to-state stability of delayed systems with bounded-delay impulses." Mathematical Modelling and Control 2, no. 2 (2022): 44–54. http://dx.doi.org/10.3934/mmc.2022006.

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<abstract><p>This paper considers the input-to-state stability (ISS) of delayed systems with bounded-delay impulses, where the delays in impulses are arbitrarily large but bounded. A novel Halanay-type inequality with delayed impulses and external inputs is proposed to deeply evaluate the effects of delayed impulses on ISS of delayed systems. Then, we obtain some delay-independent ISS criteria for the addressed delayed systems by using Lyapunov method. Particularly, by applying a new analysis technique, the current study enriches the Halanay-type inequalities and further improve the results derived in <sup>[<xref ref-type="bibr" rid="b1">1</xref>]</sup>. Two illustrative examples are presented to validate theoretical results.</p></abstract>

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24

Mahjoub, Adel, and Nabil Derbel. "Asymptotic Stabilization of Delayed Systems with Input and Output Saturations." International Journal of Applied Power Engineering (IJAPE) 6, no. 2 (2017): 64. http://dx.doi.org/10.11591/ijape.v6.i2.pp64-73.

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We consider in this paper the problem of controlling an arbitrary linear delayed system with saturating input and output. We study the stability of such a system in closed-loop with a given saturating regulator. Using input-output stability tools, we formulated sufficient conditions ensuring global asymptotic stability.

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25

Jaurigue, Lina, Elizabeth Robertson, Janik Wolters, and Kathy Lüdge. "Reservoir Computing with Delayed Input for Fast and Easy Optimisation." Entropy 23, no. 12 (2021): 1560. http://dx.doi.org/10.3390/e23121560.

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Reservoir computing is a machine learning method that solves tasks using the response of a dynamical system to a certain input. As the training scheme only involves optimising the weights of the responses of the dynamical system, this method is particularly suited for hardware implementation. Furthermore, the inherent memory of dynamical systems which are suitable for use as reservoirs mean that this method has the potential to perform well on time series prediction tasks, as well as other tasks with time dependence. However, reservoir computing still requires extensive task-dependent parameter optimisation in order to achieve good performance. We demonstrate that by including a time-delayed version of the input for various time series prediction tasks, good performance can be achieved with an unoptimised reservoir. Furthermore, we show that by including the appropriate time-delayed input, one unaltered reservoir can perform well on six different time series prediction tasks at a very low computational expense. Our approach is of particular relevance to hardware implemented reservoirs, as one does not necessarily have access to pertinent optimisation parameters in physical systems but the inclusion of an additional input is generally possible.

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26

Zhang, He, Shengyuan Xu, Zhengqiang Zhang, and Yuming Chu. "Practical stability of a nonlinear system with delayed control input." Applied Mathematics and Computation 423 (June 2022): 127008. http://dx.doi.org/10.1016/j.amc.2022.127008.

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27

Bouafoura, Mohamed Karim, and Naceur Benhadj Braiek. "Suboptimal control synthesis for state and input delayed quadratic systems." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 236, no. 5 (2022): 944–56. http://dx.doi.org/10.1177/09596518211067476.

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In this article a suboptimal linear-state feedback controller for multi-delay quadratic system is investigated. Optimal state and input coefficients resulting from the expansion over a hybrid basis of block pulse and Legendre polynomials are first obtained by formulating a nonlinear programming problem. Afterwards, suboptimal control gains are found by solving a least square problem constructed with optimal coefficients of the open loop study. A sufficient condition for the exponential stability of the closed loop is obtained from generalized Grönwall–Bellman lemma. The Van de Vusse chemical reactor case is handled allowing to validate the proposed technique.

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28

ROFAIL, SAMIR S., and YEO KIAT SENG. "A precise transient model for delayed input BiCMOS digital circuits." International Journal of Electronics 83, no. 4 (1997): 441–54. http://dx.doi.org/10.1080/002072197135274.

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29

Moon, Young Soo, PooGyeon Park, and Wook Hyun Kwon. "Robust stabilization of uncertain input-delayed systems using reduction method." Automatica 37, no. 2 (2001): 307–12. http://dx.doi.org/10.1016/s0005-1098(00)00145-x.

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30

Mahjoub, Adel, and Nabil Derbel. "Asymptotic Stabilization of Delayed Systems with Input and Output Saturations." International Journal of Applied Power Engineering (IJAPE) 6, no. 2 (2017): 63. http://dx.doi.org/10.11591/ijape.v6.i2.pp63-72.

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We consider in this paper the problem of controlling an arbitrary linear delayed system with saturating input and output. We study the stability of such a system in closed-loop with a given saturating regulator. Using inputoutput stability tools, we formulated sufficient conditions ensuring global asymptotic stability.

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31

Choi, Yong Ho, Young Chul Kim, and Kil To Chong. "Output feedback controller design for input time-delayed nonlinear system." Journal of Mechanical Science and Technology 21, no. 12 (2007): 2059–65. http://dx.doi.org/10.1007/bf03177464.

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32

Wang, Haiyan, and Yasinjan Sawur. "The Relationships between Government Subsidies, Innovation Input, and Innovation Output: Evidence from the New Generation of Information Technology Industry in China." Sustainability 14, no. 21 (2022): 14043. http://dx.doi.org/10.3390/su142114043.

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Strategic emerging industries are gradually becoming the main driving force promoting the development of the national economy. As one of the strategic emerging industries, the New Generation of Information Technology Companies (NGITCs) play a crucial role in accelerating the integration of information and industrialization and in promoting the information processing of the whole society, with the support of various policy tools, such as government subsidy policy. Based on the panel data on the Chinese A-Stock Market (Shanghai and Shenzhen Stock Markets) from 2011 to 2020, this article empirically studies the correlations between the government subsidies, innovation input, and innovation output of the NGITCs. In the first step, we check the immediate effect and delayed effect of the government subsidies on the innovation output of the NGITCs and further test whether the ownership and geographical locations of the NGITCs have moderating effects between the government subsidies and innovation output of the NGITCs. In the second step, we investigate the government subsidies’ immediate impact and the delayed effect on the innovation input of the NGITCs. In the third step, we examine the innovation input’s immediate effect and the delayed effect on the innovation output of the NGITCs. In the last step, we analyze the mediating role of innovation input between government subsidies and the innovation output of the NGITCs. Our findings indicate that government subsidies positively promote the innovation output of the NGITCs and have a two-year-delayed effect. However, the government subsidies can most significantly increase the innovation output of the non-state-owned enterprises and those in the coastal areas. The government subsidies enhance the innovation input and have a three-year positive delayed effect. Innovation input positively impacts innovation output and also has a two-year-delayed effect. Our results also show that innovation input presents a partial mediating effect between government subsidies and the innovation output of the NGITCs.

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33

Rakhmatullin, I. R., D. S. Brynov, and V. V. Sokolova. "Analysis of Structure of Input Raw Material in Coke Oven Chamber of Delayed Coking Unit." Oil and Gas Technologies 130, no. 5 (2020): 55–59. http://dx.doi.org/10.32935/1815-2600-2020-130-5-55-59.

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The article presents the defects of coke chambers formed during the operation of the delayed coking process, depending on the design of the feedstock input. The patent research of the existing feedstock input designs is carried out. In this paper the designs of Ufa refineries (Ufaneftekhim and NOVOIL) coke chambers, as well as of foreign licensors of delayed coking technologies ConocoPhillips, Foster Wheeler are considered. The analysis of these structures is done: the operation period of coke chambers is revealed, capital investments of acquisition of coke chambers with various feedstock input designs are calculated.

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34

Gao, Lijun, and Shengyan Wang. "Pth moment input-to-state stability of stochastic impulsive switched delayed systems." Transactions of the Institute of Measurement and Control 41, no. 12 (2019): 3468–76. http://dx.doi.org/10.1177/0142331219826660.

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This paper investigates the pth moment input-to-state stability (ISS) and the pth moment integral input-to-state stability (iISS) of stochastic impulsive switched delayed system with delayed impulses. By employing the method of multiple Lyapunov-Krasovskii functionals and the uniformly exponentially stable function, some relaxed Krasovskii-type sufficient conditions ensuring the pISS/piISS of the addressed systems are developed. These conditions imply the relationship among the impulsive frequency, the time delay existing in impulses, and the coefficients of the estimated upper bound for the derivative of a Lyapunov function. It is shown that if the continuous stochastic delayed dynamics is ISS, and the impulsive effects are destabilizing, then the stochastic impulsive switched delayed system is ISS with respect to the relationship. Compared with the existing results, the conditions obtained results have three relaxations, that is, the derivative of Lyapunov functions of subsystems are allowed to be sign-changing time-varying function rather than a negative definite constant, all subsystems are allowed to be unstable, and the effect of delayed impulses are considered. Finally, an example is provided to illustrate the effectiveness of the results.

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35

Olaru, S., and S. I. Niculescu. "Predictive control for linear systems with delayed input subject to constraints." IFAC Proceedings Volumes 41, no. 2 (2008): 11208–13. http://dx.doi.org/10.3182/20080706-5-kr-1001.01899.

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36

Cho, Je-Kwang. "Low-power sigma-delta modulator with half-sample delayed-input feedforward." IEICE Electronics Express 11, no. 24 (2014): 20141058. http://dx.doi.org/10.1587/elex.11.20141058.

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37

Karafyllis, Iasson. "Stabilization By Means of Approximate Predictors for Systems with Delayed Input." IFAC Proceedings Volumes 43, no. 2 (2010): 9–14. http://dx.doi.org/10.3182/20100607-3-cz-4010.00004.

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38

Ichikawa, K. "Control of internally delayed plants by using only input-output signals." International Journal of Control 49, no. 2 (1989): 723–43. http://dx.doi.org/10.1080/00207178908559663.

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39

Lou, Xuyang, and Baotong Cui. "Input-to-state stability for a class of delayed dynamical systems." International Journal of Modelling, Identification and Control 5, no. 1 (2008): 38. http://dx.doi.org/10.1504/ijmic.2008.021773.

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40

Furtat, I. B. "Adaptive predictor-free control of a plant with delayed input signal." Automation and Remote Control 75, no. 1 (2014): 139–51. http://dx.doi.org/10.1134/s0005117914010111.

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41

Jiao, Jianjun, and Shaohong Cai. "A Delayed Chemostat Model with Impulsive Diffusion and Input on Nutrients." Advances in Difference Equations 2009 (2009): 1–17. http://dx.doi.org/10.1155/2009/514240.

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42

Lou, Xuyang, and Baotong Cui. "Passive control of uncertain multiple input-delayed systems using reduction method." Mathematics and Computers in Simulation 80, no. 12 (2010): 2258–71. http://dx.doi.org/10.1016/j.matcom.2010.04.021.

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43

Karafyllis, Iasson. "Stabilization by Means of Approximate Predictors for Systems with Delayed Input." SIAM Journal on Control and Optimization 49, no. 3 (2011): 1100–1123. http://dx.doi.org/10.1137/100781973.

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44

Choi, Ho-Lim, and Jong-Tae Lim. "Asymptotic stabilization of an input-delayed chain of integrators with nonlinearity." Systems & Control Letters 59, no. 6 (2010): 374–79. http://dx.doi.org/10.1016/j.sysconle.2010.04.002.

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45

Li, Wen, Baotong Cui, and Ke Lou. "Input-To-State Practical Stability for Switched Systems with Delayed Feedback." Arabian Journal for Science and Engineering 39, no. 3 (2013): 1995–2000. http://dx.doi.org/10.1007/s13369-013-0732-9.

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Chakrabarty, Ankush, Emilia Fridman, Stanisław H. Żak, and Gregery T. Buzzard. "State and unknown input observers for nonlinear systems with delayed measurements." Automatica 95 (September 2018): 246–53. http://dx.doi.org/10.1016/j.automatica.2018.05.036.

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47

Fuh, Chyun-Chau, Hsun-Heng Tsai, and Pi-Cheng Tung. "Stabilizing Unstable Periodic Orbits via Universal Input?Output Delayed-Feedback Control." Nonlinear Dynamics 40, no. 2 (2005): 107–17. http://dx.doi.org/10.1007/s11071-005-4575-0.

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48

Lin, Lin. "On Asymptotic Stabilizability of Discrete-time Linear Systems with Delayed Input." Communications in Information and Systems 7, no. 3 (2007): 227–64. http://dx.doi.org/10.4310/cis.2007.v7.n3.a2.

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49

Chen, Yonggang, Zhumu Fu, Shumin Fei, and Shuzhong Song. "Delayed anti-windup strategy for input-delay systems with actuator saturations." Journal of the Franklin Institute 357, no. 8 (2020): 4680–96. http://dx.doi.org/10.1016/j.jfranklin.2020.02.008.

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50

Han, Shi-Yuan, Gong-You Tang, and Cheng-Ming Zhang. "Near-optimal tracking control for discrete-time systems with delayed input." International Journal of Control, Automation and Systems 8, no. 6 (2010): 1330–35. http://dx.doi.org/10.1007/s12555-010-0619-4.

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