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Journal articles on the topic 'Distributed parameter systems (Computers)'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Yang, B. "Distributed Transfer Function Analysis of Complex Distributed Parameter Systems." Journal of Applied Mechanics 61, no. 1 (1994): 84–92. http://dx.doi.org/10.1115/1.2901426.

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This paper presents a new analytical and numerical method for modeling and synthesis of complex distributed parameter systems that are multiple continua combined with lumped parameter systems. In the analysis, the complex distributed parameter system is first divided into a number of subsystems; the distributed transfer functions of each subsystem are determined in exact and closed form by a state space technique. The complex distributed parameter system is then assembled by imposing displacement compatibility and force balance at the nodes where the subsystems are interconnected. With the dis

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2

Gubarev, V. F. "Rational approximation of distributed parameter systems." Cybernetics and Systems Analysis 44, no. 2 (2008): 234–46. http://dx.doi.org/10.1007/s10559-008-0023-8.

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3

ZHANG, WEIJIAN. "Gain of optical distributed sensing in distributed parameter systems." International Journal of Systems Science 22, no. 12 (1991): 2521–40. http://dx.doi.org/10.1080/00207729108910811.

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4

EL JAI, A., M. C. SIMON, E. ZERRIK, and A. J. PRITCHARD. "Regional controllability of distributed parameter systems." International Journal of Control 62, no. 6 (1995): 1351–65. http://dx.doi.org/10.1080/00207179508921603.

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5

REBIAI, S. E., and A. S. I. ZINOBER. "Stabilization of uncertain distributed parameter systems." International Journal of Control 57, no. 5 (1993): 1167–75. http://dx.doi.org/10.1080/00207179308934438.

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6

HARA, KEI, TESTSUHIKO YAMAMOTO, and KAZUYUKI OUGITA. "Parameter identification of distributed parameter systems using spline functions." International Journal of Systems Science 19, no. 1 (1988): 49–64. http://dx.doi.org/10.1080/00207728808967587.

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7

Orlikowski, Cezary, and Rafał Hein. "Port-Based Modeling of Distributed-Lumped Parameter Systems." Solid State Phenomena 164 (June 2010): 183–88. http://dx.doi.org/10.4028/www.scientific.net/ssp.164.183.

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This paper presents a uniform, port-based approach for modeling of both lumped and distributed parameter systems. Port-based model of the distributed system has been defined by application of bond graph methodology and distributed transfer function method (DTFM). The proposed approach combines versatility of port-based modeling and accuracy of distributed transfer function method. A concise representation of lumped-distributed systems has been obtained. The proposed method of modeling enables to formulate input data for computer analysis by application of DTFM.

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8

Plotnikov, A. V. "Control of distributed-parameter systems under uncertainty." Cybernetics and Systems Analysis 27, no. 6 (1991): 940–43. http://dx.doi.org/10.1007/bf01246529.

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9

Bernoussi, A. "Spreadability and vulnerability of distributed parameter systems." International Journal of Systems Science 38, no. 4 (2007): 305–17. http://dx.doi.org/10.1080/00207720601159787.

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10

KODA, MASATO. "Sensitivity analysis of descriptor distributed parameter systems." International Journal of Systems Science 19, no. 10 (1988): 2103–14. http://dx.doi.org/10.1080/00207728808964102.

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11

KOBAYASHI, TOSHIHIRO. "Spectrum assignability of hyperbolic distributed parameter systems." International Journal of Systems Science 20, no. 8 (1989): 1431–39. http://dx.doi.org/10.1080/00207728908910228.

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12

KOBAYASHI, TOSHIHIRO. "Spectrum assignability of parabolic distributed parameter systems." International Journal of Systems Science 20, no. 9 (1989): 1779–85. http://dx.doi.org/10.1080/00207728908910260.

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13

UCIŃSKI, DARIUSZ, and JÓZEF KORBICZ. "Parameter identification of two-dimensional distributed systems." International Journal of Systems Science 21, no. 12 (1990): 2441–56. http://dx.doi.org/10.1080/00207729008910563.

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14

KOBAYASHI, TOSHIHIRO. "Zeros and controllability of distributed parameter systems." International Journal of Systems Science 23, no. 12 (1992): 2359–68. http://dx.doi.org/10.1080/00207729208949460.

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15

Korbicz, Józef, and M. Z. Zgurovsky. "Computer Aided Design of the Distributed Parameter Control Systems." IFAC Proceedings Volumes 20, no. 12 (1987): 239–44. http://dx.doi.org/10.1016/s1474-6670(17)55637-2.

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16

Yang, B., and C. A. Tan. "Transfer Functions of One-Dimensional Distributed Parameter Systems." Journal of Applied Mechanics 59, no. 4 (1992): 1009–14. http://dx.doi.org/10.1115/1.2894015.

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Distributed parameter systems describe many important physical processes. The transfer function of a distributed parameter system contains all information required to predict the system spectrum, the system response under any initial and external disturbances, and the stability of the system response. This paper presents a new method for evaluating transfer functions for a class of one-dimensional distributed parameter systems. The system equations are cast into a matrix form in the Laplace transform domain. Through determination of a fundamental matrix, the system transfer function is precise

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17

UKAI, HIROYUKI, and TETSUO IWAZUMI. "General servomechanism problems for distributed parameter systems." International Journal of Control 42, no. 5 (1985): 1195–212. http://dx.doi.org/10.1080/00207178508933421.

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18

EL JAI, A., and M. AMOUROUX. "Sensors and observers in distributed parameter systems." International Journal of Control 47, no. 1 (1988): 333–47. http://dx.doi.org/10.1080/00207178808906013.

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19

Al-Dabass, David, Abdalla Zreiba, David J. Evans, and Siva Sivayoganathan. "Parameter Estimation Algorithms for Hierarchical Distributed Systems." International Journal of Computer Mathematics 79, no. 1 (2002): 65–88. http://dx.doi.org/10.1080/00207160211916.

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20

Helmicki, A. J., C. A. Jacobson, and C. N. Nett. "Control-Oriented Modeling of Distributed Parameter Systems." Journal of Dynamic Systems, Measurement, and Control 114, no. 3 (1992): 339–46. http://dx.doi.org/10.1115/1.2897353.

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In this paper the use of linear, time-invariant, distributed parameter systems (LTI-DPS) as models of physical processes is considered from a control viewpoint. Specifically, recent theoretical results obtained by the authors for the control-oriented modeling of LTI-DPS are concisely reviewed and then a series of applications is given in order to illustrate the practical ramifications of these results.

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21

Pandolfi, L., and H. Zwart. "Stability of perturbed linear distributed parameter systems." Systems & Control Letters 17, no. 4 (1991): 257–64. http://dx.doi.org/10.1016/0167-6911(91)90141-z.

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22

Khapalov, A. Yu. "Optimal measurement trajectories for distributed parameter systems." Systems & Control Letters 18, no. 6 (1992): 467–77. http://dx.doi.org/10.1016/0167-6911(92)90051-s.

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23

KOBAYASHI, TOSHIHIRO. "Zeros and design of control systems for distributed parameter systems." International Journal of Systems Science 23, no. 9 (1992): 1507–15. http://dx.doi.org/10.1080/00207729208949402.

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24

NING, JIANG, and JIANG JIONG. "Parameter or non-parameter identification of distributed parameter systems via block-pulse functions." International Journal of Systems Science 19, no. 6 (1988): 1039–45. http://dx.doi.org/10.1080/00207728808547185.

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25

Point, N., A. Vande Wouwer, M. Remy, and M. Zeitz. "PC environment for simulation and parameter estimation of distributed parameter systems." Mathematics and Computers in Simulation 35, no. 6 (1993): 481–91. http://dx.doi.org/10.1016/0378-4754(93)90066-4.

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26

Alaña, Jorge E., and Constantinos Theodoropoulos. "Optimal location of measurements for parameter estimation of distributed parameter systems." Computers & Chemical Engineering 35, no. 1 (2011): 106–20. http://dx.doi.org/10.1016/j.compchemeng.2010.04.014.

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27

Demetriou, M. A., and I. G. Rosen. "Adaptive identification of second-order distributed parameter systems." Inverse Problems 10, no. 2 (1994): 261–94. http://dx.doi.org/10.1088/0266-5611/10/2/006.

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28

Kouvaritakis *, B., M. Cannon, B. Rohal-Ilkiv, A. Karas, and C. Belavý. "Constrained predictive control of linear distributed parameter systems." International Journal of Control 77, no. 10 (2004): 941–48. http://dx.doi.org/10.1080/00207170412331270541.

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29

BURGER, J., та Y. JARNY. "Observability and ε-observability for distributed-parameter systems". International Journal of Control 41, № 6 (1985): 1493–507. http://dx.doi.org/10.1080/0020718508961211.

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30

SAGARA, SETSUO, ZI-JIANG YANG, and KIYOSHI WADA. "Parameter identification of distributed parameter systems in the presence of measurement noise." International Journal of Systems Science 22, no. 8 (1991): 1391–401. http://dx.doi.org/10.1080/00207729108910716.

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31

Helmicki, A. J., C. A. Jacobson, and C. N. Nett. "Ill-posed distributed parameter systems: a control viewpoint." IEEE Transactions on Automatic Control 36, no. 9 (1991): 1053–57. http://dx.doi.org/10.1109/9.83536.

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32

Kharitonov, A., and O. Sawodny. "Flatness-based feedforward control for parabolic distributed parameter systems with distributed control." International Journal of Control 79, no. 7 (2006): 677–87. http://dx.doi.org/10.1080/00207170600622858.

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33

Kugi, Andreas, and Kurt Schlacher. "Modelling of distributed-parameter systems for control purposes." Mathematical and Computer Modelling of Dynamical Systems 14, no. 3 (2008): 177–78. http://dx.doi.org/10.1080/13873950701844816.

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34

Schlacher, Kurt, and Markus Schöberl. "Modelling, analysis and control of distributed parameter systems." Mathematical and Computer Modelling of Dynamical Systems 17, no. 1 (2011): 1–2. http://dx.doi.org/10.1080/13873954.2010.537507.

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35

Gubarev, V. F. "Problem of Mathematical Data Interpretation. II. Distributed-Parameter Systems*." Cybernetics and Systems Analysis 56, no. 3 (2020): 356–65. http://dx.doi.org/10.1007/s10559-020-00252-7.

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36

Lee, Jaehwan, Hyeonseong Choi, Hyeonwoo Jeong, Baekhyeon Noh, and Ji Sun Shin. "Communication Optimization Schemes for Accelerating Distributed Deep Learning Systems." Applied Sciences 10, no. 24 (2020): 8846. http://dx.doi.org/10.3390/app10248846.

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In a distributed deep learning system, a parameter server and workers must communicate to exchange gradients and parameters, and the communication cost increases as the number of workers increases. This paper presents a communication data optimization scheme to mitigate the decrease in throughput due to communication performance bottlenecks in distributed deep learning. To optimize communication, we propose two methods. The first is a layer dropping scheme to reduce communication data. The layer dropping scheme we propose compares the representative values of each hidden layer with a threshold

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37

Pleshivtseva, Yu E., and E. Ya Rapoport. "Optimal Energy-Efficient Programmed Control of Distributed Parameter Systems." Journal of Computer and Systems Sciences International 59, no. 4 (2020): 518–32. http://dx.doi.org/10.1134/s1064230720030120.

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38

Deutscher, J., and Ch Harkort. "Parametric state feedback design of linear distributed-parameter systems." International Journal of Control 82, no. 6 (2009): 1060–69. http://dx.doi.org/10.1080/00207170802434383.

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39

KOBAYASHI, TOSHIHIRO. "Discrete-time servomechanism design of parabolic distributed-parameter systems." International Journal of Control 41, no. 4 (1985): 845–64. http://dx.doi.org/10.1080/0020718508961168.

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40

Curtain, Ruth F., and Job C. Oostveen. "The Popov criterion for strongly stable distributed parameter systems." International Journal of Control 74, no. 3 (2001): 265–80. http://dx.doi.org/10.1080/00207170010003450a.

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41

CHOURA, SLIM, and SUHADA JAYASURIYA. "Robust finite time settling control of distributed parameter systems." International Journal of Control 52, no. 6 (1990): 1425–53. http://dx.doi.org/10.1080/00207179008953603.

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42

Li, Manna, and Weijie Mao. "DC-boundary finite-time stabilisation for distributed parameter systems." IET Control Theory & Applications 14, no. 15 (2020): 2186–96. http://dx.doi.org/10.1049/iet-cta.2019.0542.

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43

Li, Xueyang, and Weijie Mao. "Finite-time stability and stabilisation of distributed parameter systems." IET Control Theory & Applications 11, no. 5 (2017): 640–46. http://dx.doi.org/10.1049/iet-cta.2016.1087.

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44

Ungureşan, Mihaela Ligia, and Vlad Mureşan. "PID Control System for a Distributed Parameter Process." Applied Mechanics and Materials 555 (June 2014): 222–31. http://dx.doi.org/10.4028/www.scientific.net/amm.555.222.

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This paper presents the numerical simulation of a control system, with PID algorithm, for a process modeled through a partial differential equation of second order (PDE II.2), with respect to time (t) and to a spatial variable (p). Because these types of control systems are less usual, this paper develops a case study, with a program run on the computer. The details of using the PID control are pointed out, for an example of a system which contains a process with PDE II.2 structure.

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45

Helmicki, A. J., C. A. Jacobson, and C. N. Nett. "On zero-order hold equivalents of distributed parameter systems." IEEE Transactions on Automatic Control 37, no. 4 (1992): 488–91. http://dx.doi.org/10.1109/9.126582.

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46

Yang, S. M., and C. A. Jeng. "Structural Control of Distributed Parameter Systems by Output Feedback." Journal of Dynamic Systems, Measurement, and Control 120, no. 3 (1998): 322–27. http://dx.doi.org/10.1115/1.2805404.

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Most of the controller design in distributed parameter systems requires not only the measurement and/or estimation of distributed states, but also the feedback gain in a function of time and spatial coordinates. These requirements are difficult, if not impossible, to meet in engineering implementation. An output feedback algorithm for the structural control of distributed parameter systems is presented in this paper. The algorithm employs a solution technique to simplify the functional Riccati equation into a set of algebraic equations such that sensor and actuator can be applied at discrete,

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47

Jiang, Yushan, Chao Liu, Qingling Zhang, and Tieyu Zhao. "Two side observer design for singular distributed parameter systems." Systems & Control Letters 124 (February 2019): 112–20. http://dx.doi.org/10.1016/j.sysconle.2019.01.001.

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48

Schöberl, Markus, and Kurt Schlacher. "Distributed parameter systems - new methods for modelling and control." Mathematical and Computer Modelling of Dynamical Systems 23, no. 1 (2016): 1–2. http://dx.doi.org/10.1080/13873954.2016.1232291.

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49

Aggelogiannaki, Eleni, and Haralambos Sarimveis. "Robust nonlinear H∞ control of hyperbolic distributed parameter systems." Control Engineering Practice 17, no. 6 (2009): 723–32. http://dx.doi.org/10.1016/j.conengprac.2008.11.005.

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50

Sergienko, I. V., V. V. Skopetskii, V. A. Stoyan, T. Yu Blagoveshchenskaya, and V. A. Bogaenko. "Program-Analytical Simulation of Problems for Distributed-Parameter Dynamic Systems." Cybernetics and Systems Analysis 41, no. 2 (2005): 183–202. http://dx.doi.org/10.1007/s10559-005-0052-5.

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