Relevant bibliographies by topics / Control of distributed parameter systems

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Control of distributed parameter systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Control of distributed parameter systems"

1

Capitani, G., M. Tibaldi, G. Bertoni, and A. Yousuff. "Integrated Control of Distributed Parameter Systems." IFAC Proceedings Volumes 20, no. 1 (June 1987): 269–74. http://dx.doi.org/10.1016/s1474-6670(17)59310-6.

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Hulkó, G., C. Belavý, J. Belanský, M. Lavrinc, and I. Hurák. "Boundary Control of Distributed Parameter Systems." IFAC Proceedings Volumes 33, no. 13 (June 2000): 521–24. http://dx.doi.org/10.1016/s1474-6670(17)37243-9.

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Hulkó, G., and C. Belavý. "PID Control of Distributed Parameter Systems." IFAC Proceedings Volumes 36, no. 18 (September 2003): 101–6. http://dx.doi.org/10.1016/s1474-6670(17)34652-9.

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Song, Yuhua, Xiuyu He, Zhijie Liu, Wei He, Changyin Sun, and Fei-Yue Wang. "Parallel Control of Distributed Parameter Systems." IEEE Transactions on Cybernetics 48, no. 12 (December 2018): 3291–301. http://dx.doi.org/10.1109/tcyb.2018.2849569.

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Pohjolainen, Seppo. "Mobile control of distributed parameter systems." Automatica 25, no. 4 (July 1989): 640–42. http://dx.doi.org/10.1016/0005-1098(89)90111-8.

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Mansimov, K. B. "Singular controls in control problems for distributed-parameter systems." Journal of Mathematical Sciences 148, no. 3 (January 2008): 331–81. http://dx.doi.org/10.1007/s10958-008-0009-0.

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Xing, Hai Long, and Wen Shan Cui. "Feedback Control of Parabolic Distributed Parameter Systems." Applied Mechanics and Materials 455 (November 2013): 337–43. http://dx.doi.org/10.4028/www.scientific.net/amm.455.337.

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In this paper, the feedback control problem is considered for a class of parabolic distributed parameter systems (DPS). By employing a new Lyapunov-Krasovskii functional as well as the linear matrix inequality (LMI), a novel feedback controller is developed, which can guarantee the closed-loop system states uniformly convergent to zero. The stability conditions for closed-loop systems can be easily checked by utilizing the numerically efficient Matlab LMI toolbox. At last, a numerical example shows the effectiveness of the presented LMI-based methods.
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Szuda, J., M. Antoniová, B. Rohal’-Il’kiv, and G. Hulkó. "Adaptive Predictive Control of Distributed Parameter Systems." IFAC Proceedings Volumes 30, no. 21 (September 1997): 487–93. http://dx.doi.org/10.1016/s1474-6670(17)41486-8.

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Henrı́quez, Hernán R. "Stabilization of hereditary distributed parameter control systems." Systems & Control Letters 44, no. 1 (September 2001): 35–43. http://dx.doi.org/10.1016/s0167-6911(01)00104-9.

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Hulkó, G., M. Antoniová, J. Belanský, C. Belavý, and J. Szuda. "Design of distributed parameter systems of control." IFAC Proceedings Volumes 27, no. 11 (September 1994): 423–28. http://dx.doi.org/10.1016/s1474-6670(17)47686-5.

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Dissertations / Theses on the topic "Control of distributed parameter systems"

1

Rubio, Diana. "Distributed Parameter Control of Thermal Fluids." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30330.

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We consider the problem of controlling a thermal convection flow by feedback. The system is governed by the Boussinesq approximation of the coupled set of Navier-Stokes and heat equations. The control is applied through Dirichlet boundary conditions. We concentrate on a two-dimensional mode and use a semidiscrete Galerkin scheme for numerical computations. We construct both a linear control and a non-linear quadratic control and apply them to the full non-linear model. First, we test these controllers on a one-mode approximation. The convergence of the numerical scheme is analyzed. We also consider LQR control for a two-dimensional heat equation.
Ph. D.
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Andoh, Fukashi. "Control of distributed parameter systems using Piezoelectric transducers /." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486400446370949.

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Hill, David Dean. "Finite dimensional approximations of distributed parameter control systems." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54383.

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In this paper we consider two separate approaches to the development of finite dimensional control systems for approximating distributed parameter models. One method uses the “standard finite element” approximations to construct the basic system matrices. The resulting system can then be balanced by any of several balancing algorithms. The second method is based on truncating infinite dimensional balanced realizations of the input-output map. Both approaches are applied to a control problem governed by the heat equation. We present a comparison of the resulting finite dimensional models.
Ph. D.
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Godasi, Satyam. "Identification and control of non-linear distributed parameter systems /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2002. http://uclibs.org/PID/11984.

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Jayaraman, Usha. "Toward the development of control software for an operator interface in the distributed automation environment." Master's thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-04122010-083449/.

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Evans, Katie Allison. "Reduced Order Controllers for Distributed Parameter Systems." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/11063.

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Distributed parameter systems (DPS) are systems defined on infinite dimensional spaces. This includes problems governed by partial differential equations (PDEs) and delay differential equations. In order to numerically implement a controller for a physical system we often first approximate the PDE and the PDE controller using some finite dimensional scheme. However, control design at this level will typically give rise to controllers that are inherently large-scale. This presents a challenge since we are interested in the design of robust, real-time controllers for physical systems. Therefore, a reduction in the size of the model and/or controller must take place at some point. Traditional methods to obtain lower order controllers involve reducing the model from that for the PDE, and then applying a standard control design technique. One such model reduction technique is balanced truncation. However, it has been argued that this type of method may have an inherent weakness since there is a loss of physical information from the high order, PDE approximating model prior to control design. In an attempt to capture characteristics of the PDE controller before the reduction step, alternative techniques have been introduced that can be thought of as controller reduction methods as opposed to model reduction methods. One such technique is LQG balanced truncation. Only recently has theory for LQG balanced truncation been developed in the infinite dimensional setting. In this work, we numerically investigate the viability of LQG balanced truncation as a suitable means for designing low order, robust controllers for distributed parameter systems. We accomplish this by applying both balanced reduction techniques, coupled with LQG, MinMax and central control designs for the low order controllers, to the cable mass, Klein-Gordon, and Euler-Bernoulli beam PDE systems. All numerical results include a comparison of controller performance and robustness properties of the closed loop systems.
Ph. D.
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Vugrin, Eric D. "On Approximation and Optimal Control of Nonnormal Distributed Parameter Systems." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/11149.

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For more than 100 years, the Navier-Stokes equations and various linearizations have been used as a model to study fluid dynamics. Recently, attention has been directed toward studying the nonnormality of linearized problems and developing convergent numerical schemes for simulation of these sytems. Numerical schemes for optimal control problems often require additional properties that may not be necessary for simulation; these properties can be critical when studying nonnormal problems. This research is concerned with approximating infinite dimensional optimal control problems with nonnormal system operators. We examine three different finite element methods for a specific convection-diffusion equation and prove convergence of the infinitesimal generators. Additionally, for two of these schemes, we prove convergence of the associated feedback gains. We apply these three schemes to control problems and compare the performance of all three methods.
Ph. D.
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Thull, Daniel [Verfasser]. "Tracking Control of Mechanical Distributed Parameter Systems with Applications / Daniel Thull." Aachen : Shaker, 2010. http://d-nb.info/112086397X/34.

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Qi, Chenkun. "Modeling of nonlinear distributed parameter system for industrial thermal processes /." access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-meem-b23750911f.pdf.

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Thesis (Ph.D.)--City University of Hong Kong, 2009.
"Submitted to Department of Manufacturing Engineering and Engineering Management in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 167-187)
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Banach, Antoni StanisŁaw. "Feedback design for nonlinear distributed-parameter systems by extended linearization." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/39429.

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A feedback design procedure known as extended linearization consists in replacing a mathematical model of a nonlinear dynamical system with its family of linearizations, parametrized by the operating point, and then combining feedback gains designed for representatives of the family into a single nonlinear feedback law. The principles of the procedure, applicable both to lumped-parameter and distributed-parameter systems, are discussed at the outset. The development shows limits on feedback laws that can be designed, as well as nonuniqueness of solutions, inherent in the method.
Ph. D.
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Books on the topic "Control of distributed parameter systems"

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Mobile control of distributed parameter systems. Chichester: E. Horwood, 1987.

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H, Seinfeld John, ed. Distributed parameter systems: Theory and applications. Tokyo, Japan: Ohmsha, 1989.

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Optimal control of nonsmooth distributed parameter systems. Berlin: Springer-Verlag, 1990.

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Tiba, Dan. Optimal control of nonsmooth distributed parameter systems. Berlin: Springer-Verlag, 1990.

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Desch, W., F. Kappel, and K. Kunisch, eds. Control and Estimation of Distributed Parameter Systems. Basel: Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-8001-5.

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Chen, Shuping, Xunjing Li, Jiongmin Yong, and Xun Yu Zhou, eds. Control of Distributed Parameter and Stochastic Systems. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35359-3.

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Desch, Wolfgang, Franz Kappel, and Karl Kunisch, eds. Estimation and Control of Distributed Parameter Systems. Basel: Birkhäuser Basel, 1991. http://dx.doi.org/10.1007/978-3-0348-6418-3.

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Desch, W., F. Kappel, and K. Kunisch, eds. Control and Estimation of Distributed Parameter Systems. Basel: Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8849-3.

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Tiba, Dan. Optimal Control of Nonsmooth Distributed Parameter Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/bfb0085564.

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Burns, John A. Computational methods for control of distributed parameter systems. Hampton, Va: ICASE, 1986.

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Book chapters on the topic "Control of distributed parameter systems"

1

Carlson, Dean A., Alain B. Haurie, and Arie Leizarowitz. "Extensions to Distributed Parameter Systems." In Infinite Horizon Optimal Control, 226–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76755-5_9.

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Chernousko, Felix L., Igor M. Ananievski, and Sergey A. Reshmin. "Control in distributed-parameter systems." In Control of Nonlinear Dynamical Systems, 245–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70784-4_7.

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Barbu, Viorel. "Optimal Control of Parameter Distributed Systems." In Mathematical Methods in Optimization of Differential Systems, 168–257. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0760-0_4.

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Byrnes, C. I., and D. S. Gilliam. "Boundary Feedback Stabilization of Distributed Parameter Systems." In Robust Control of Linear Systems and Nonlinear Control, 421–28. Boston, MA: Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4612-4484-4_40.

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"Distributed Parameter Systems." In Robust Control Engineering, 119–34. CRC Press, 2017. http://dx.doi.org/10.4324/9781315394985-5.

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Sagara, S., and Zhen-Yu Zhao. "IDENTIFICATION OF SYSTEM PARAMETERS IN DISTRIBUTED PARAMETER SYSTEMS." In Automatic Control 1990, 471–76. Elsevier, 1991. http://dx.doi.org/10.1016/b978-0-08-041263-4.50081-6.

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"Distributed Parameter Systems." In Multi-Resolution Methods for Modeling and Control of Dynamical Systems, 223–58. Chapman and Hall/CRC, 2008. http://dx.doi.org/10.1201/9781584887706-12.

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"Control of distributed parameter systems." In Design of Nonlinear Control Systems with the Highest Derivative in Feedback, 313–24. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812569240_0013.

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MEIROVITCH, LEONARD, and MARK A. NORRIS. "Parameter Identification in Distributed Structures." In Control and Dynamic Systems, 53–88. Elsevier, 1990. http://dx.doi.org/10.1016/b978-0-12-012732-0.50009-4.

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Kurzhanski, A. B., and A. Yu Khapalov. "OBSERVERS FOR DISTRIBUTED-PARAMETER SYSTEMS." In Control of Distributed Parameter Systems 1989, 497–500. Elsevier, 1990. http://dx.doi.org/10.1016/b978-0-08-037036-1.50090-2.

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Conference papers on the topic "Control of distributed parameter systems"

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Fen Wu. "Distributed control for distributed linear parameter varying systems." In Proceedings of American Control Conference. IEEE, 2001. http://dx.doi.org/10.1109/acc.2001.946128.

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Inman, D. "Control of symmetrizable distributed parameter systems." In 1985 24th IEEE Conference on Decision and Control. IEEE, 1985. http://dx.doi.org/10.1109/cdc.1985.268594.

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Rebarber, Richard. "Spectral assignability for distributed parameter systems." In 26th IEEE Conference on Decision and Control. IEEE, 1987. http://dx.doi.org/10.1109/cdc.1987.272681.

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Banks, H. T. "Inverse problems for distributed parameter systems." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.203536.

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Olbrot, A. W., M. P. Polis, and C. U. T. Igwe. "Robust stability of distributed parameter systems." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.203324.

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Leland, R. "Approximate maximum likelihood parameter estimates for stochastic distributed parameter systems." In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.609518.

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Fischl, Robert, Thierry Jurand, and John J. Helferty. "On-Line Parameter Identification Algorithm for Distributed Parameter Plug Flow Systems." In 1989 American Control Conference. IEEE, 1989. http://dx.doi.org/10.23919/acc.1989.4790553.

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Akbarzadeh-Totonchi, Mohammad R., Mo Jamshidi, and Peter Dorato. "Fuzzy hierarchical control of distributed parameter systems." In the 1995 ACM symposium. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/315891.316097.

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Habrache, Nouara, and Ahmed Maidi. "Geometric control of bilinear distributed parameter systems." In 2015 4th International Conference on Electrical Engineering (ICEE). IEEE, 2015. http://dx.doi.org/10.1109/intee.2015.7416769.

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Drakunov, S., and E. Barbieri. "Sliding surfaces design for distributed parameter systems." In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.612012.

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Reports on the topic "Control of distributed parameter systems"

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Seidman, Thomas I. Control Theory and Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada182808.

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Banks, H. T. Modeling and Control in Distributed Parameter Physical Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1998. http://dx.doi.org/10.21236/ada346461.

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Seidman, Thomas I. Optimal Design and Control of Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada254947.

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Lasiecka, I., and R. Triggiani. Control and Stabilization of Distributed Parameter Systems; Theoretical and Computational Aspects. Fort Belvoir, VA: Defense Technical Information Center, February 1994. http://dx.doi.org/10.21236/ada277239.

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Russell, David. Instrumentation to Provide an Active Control Capability for Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, February 1988. http://dx.doi.org/10.21236/ada190043.

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Kevrekidis, Ioannis G. Enabling-Dynamic Simulators: Stability, Bifurcation and Control Computations for Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada405411.

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Balas, Mark J. Feedback Control of Distributed Parameter Systems with Applications to Large Space Structures. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada190536.

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Rosen, I. G. Approximation Theory and Computational Methods for the Identification and Control of Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, December 1993. http://dx.doi.org/10.21236/ada277335.

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Hovakimyan, Naira. Reduced Order Adaptive Controllers for Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada438582.

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Smith, Ralph C. Conference on Future Directions in Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, November 2000. http://dx.doi.org/10.21236/ada387596.

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