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Sensor network design for the estimation of spatially distributed processes Cover

Sensor network design for the estimation of spatially distributed processes

Open Access
|Sep 2010

References

  1. Akçelik, V., Biros, G., Ghattas, O., Long, K. R. and van Bloemen Waanders, B. (2003). A variational finite element method for source inversion for convective-diffusive transport,: 683-705.
  2. Atkinson, A. C., Donev, A. N. and Tobias, R. D. (2007)., Oxford University Press, Oxford.
  3. Banks, H. T. (1992). Computational issues in parameter estimation and feedback control problems for partial differential equation systems,: 226-238.
  4. Banks, H. T., Smith, R. C. and Wang, Y. (1996)., Research in Applied Mathematics, Masson, Paris.
  5. Biegler, L. T., Ghattas, O., Heinkenschloss, M., Keyes, D. and van Bloemen Waanders, B. (Eds.) (2007)., Society for Industrial and Applied Mathematics, Philadelphia, PA.
  6. Boggs, P. T., Long, K. R., Margolis, S. B. and Howard, P. A. (2006). Rapid source inversion for chemical/biological attacks. Part 1: The steady-state case,(2): 430-458.
  7. Butkovskiy, A. G. and Pustyl'nikov, A. M. (1987)., John Wiley & Sons, New York, NY.
  8. Cassandras, C. G. and Li, W. (2005). Sensor networks and cooperative control,(4-5): 436-463.
  9. Chavent, G. (1991). On the theory and practice of non-linear least-squares,(2): 55-63.
  10. Chong, C.-Y. and Kumar, S. P. (2003). Sensor networks: Evolution, opportunities, and challenges,(8): 1247-1256.
  11. Christofides, P. D. (2001)., Systems & Control: Foundations & Applications, Birkhäuser, Boston, MA.
  12. Daescu, D. N. and Navon, I. M. (2004). Adaptive observations in the context of 4D-Var data assimilation,: 205-226.
  13. Demetriou, M. A. (2006a). Detection and containment policy of moving source in 2D diffusion processes using sensor/actuator network,, (on CD-ROM).
  14. Demetriou, M. A. (2006b). Power management of sensor networks for detection of a moving source in 2-D spatial domains,, (on CD-ROM).
  15. Demetriou, M. A. (2007). Process estimation and moving source detection in 2-D diffusion processes by scheduling of sensor networks,, (on CD-ROM).
  16. Demetriou, M. A. (2009). Natural consensus filters for second order infinite dimensional systems,(12): 826-833.
  17. Demetriou, M. A. and Hussein, I. I. (2009). Estimation of spatially distributed processes using mobile spatially distributed sensor network,(1): 266-291.
  18. Fedorov, V. V. and Hackl, P. (1997)., Lecture Notes in Statistics, Springer-Verlag, New York, NY.
  19. Ford, I., Titterington, D. M. and Kitsos, C. P. (1989). Recent advances in nonlinear experimental design,(1): 49-60.
  20. Gevers, M. (2005). Identification for control: From the early achievements to the revival of experiment design,(4-5): 335-352.
  21. Gnot, S., Rafajłowicz, E. and Urbańska-Motyka, A. (2001). Statistical inference in a linear model for spatially located sensors and random input,(2): 370-379.
  22. Goodwin, G. C. and Payne, R. L. (1977)., Mathematics in Science and Engineering, Academic Press, New York, NY.
  23. Gruver, W. A. and Sachs, E. (1980)., Pitman Publishing Limited, London.
  24. Hirsch, M. J., Pardalos, P. M., Murphey, R. and Grundel, D. (Eds.) (2008)., Springer-Verlag, Berlin.
  25. Hjalmarsson, H. (2005). From experiment design to closed-loop control,(3): 393-438.
  26. Hussein, I. I. and Demetriou, M. A. (2007). Estimation of distributed processes using mobile spatially distributed sensors,, (on CD-ROM).
  27. Isakov, V. (1998)., Applied Mathematical Sciences, Springer-Verlag, New York, NY.
  28. Jacobson, M. Z. (1999)., Cambridge University Press, Cambridge.
  29. Jain, N. and Agrawal, D. P. (2005). Current trends in wireless sensor network design,: 101-122.
  30. Jennings, L. S., Fisher, M. E., Teo, K. L. and Goh, C. J. (2002)., Department of Mathematics, University of Western Australia, Nedlands
  31. Jeremić, A. and Nehorai, A. (1998). Design of chemical sensor arrays for monitoring disposal sites on the ocean floor,(4): 334-343.
  32. Jeremić, A. and Nehorai, A. (2000). Landmine detection and localization using chemical sensor array processing,(5): 1295-1305.
  33. Kubrusly, C. S. and Malebranche, H. (1985). Sensors and controllers location in distributed systems—A survey,(2): 117-128.
  34. Kusiak, S. and Weatherwax, J. (2008). Identification and characterization of a mobile source in a general parabolic differential equation with constant coefficients,(3): 784-805.
  35. Lefèvre, F. and Niliot, C. L. (2002). The BEM for point heat source estimation: Application to multiple static sources and moving sources,: 536-546.
  36. Lehmann, E. L. and Romano, J. P. (2005)., 3rd Edn., Springer-Verlag.
  37. Ljung, L. (1999)., 2nd Edn., Prentice Hall, Upper Saddle River, NJ.
  38. Maksimov, V. I. (2000)., Russian Academy of Sciences Press, Ekaterinburg, (in Russian).
  39. Martínez, S. and Bullo, F. (2006). Optimal sensor placement and motion coordination for target tracking,(4): 661-668.
  40. Navon, I. M. (1997). Practical and theoretical aspects of adjoint parameter estimation and identifiability in meteorology and oceanography,: 55-79.
  41. Nehorai, A., Porat, B. and Paldi, E. (1995). Detection and localization of vapor-emitting sources,(1): 243-253.
  42. Ögren, P., Fiorelli, E. and Leonard, N. E. (2004). Cooperative control of mobile sensor networks: Adaptive gradient climbing in a distributed environment,(8): 1292-1302.
  43. Patan, M. and Patan, K. (2005). Optimal observation strategies for model-based fault detection in distributed systems,(18): 1497-1510.
  44. Patan, M. and Uciński, D. (2005). Optimal activation strategy of discrete scanning sensors for fault detection in distributed-parameter systems,, (on CD-ROM).
  45. Patan, M. and Uciński, D. (2008). Configuring a sensor network for fault detection in distributed parameter systems,(4): 513-524, DOI: 10.2478/v10006-008-0045-4.
  46. Polak, E. (1997)., Applied Mathematical Sciences, Springer-Verlag, New York, NY.
  47. Porat, B. and Nehorai, A. (1996). Localizing vapor-emitting sources by moving sensors,(4): 1018-1021.
  48. Pytlak, R. (1999)., Springer-Verlag, Berlin.
  49. Quereshi, Z. H., Ng, T. S. and Goodwin, G. C. (1980). Optimum experimental design for identification of distributed parameter systems,(1): 21-29.
  50. Rafajłowicz, E. (1981). Design of experiments for eigenvalue identification in distributed-parameter systems,(6): 1079-1094.
  51. Rafajłowicz, E. (1983). Optimal experiment design for identification of linear distributed-parameter systems: Frequency domain approach,(7): 806-808.
  52. Rafajłowicz, E. (1986). Optimum choice of moving sensor trajectories for distributed parameter system identification,(5): 1441-1451.
  53. Sastry, S. and Iyengar, S. S. (2005). Real-time sensor-actuator networks,: 17-34.
  54. Schwartz, A. L., Polak, E. and Chen, Y. (1997).
  55. Sinopoli, B., Sharp, C., Schenato, L., Schaffert, S. and Sastry, S. S. (2003). Distributed control applications within sensor networks,(8): 1235-1246.
  56. Sivergina, I. F. and Polis, M. P. (2002). Comments on "Model-based solution techniques for the source localization problem",(4): 633-633.
  57. Sivergina, I. F., Polis, M. P. and Kolmanovsky, I. (2003). Source identification for parabolic equations,: 141-157.
  58. Song, Z., Chen, Y., Sastry, C. R. and Tas, N. C. (2009)., Springer-Verlag, London.
  59. Sun, N.-Z. (1994)., Theory and Applications of Transport in Porous Media, Kluwer Academic Publishers, Dordrecht.
  60. Uciński, D. (1999)., Technical University Press, Zielona Góra.
  61. Uciński, D. (2000a). Optimal selection of measurement locations for parameter estimation in distributed processes,(2): 357-379.
  62. Uciński, D. (2000b). Optimal sensor location for parameter estimation of distributed processes,(13): 1235-1248.
  63. Uciński, D. (2005)., CRC Press, Boca Raton, FL.
  64. Uciński, D. and Atkinson, A. C. (2004). Experimental design for time-dependent models with correlated observations,(2), Article No. 13.
  65. Uciński, D. and Bogacka, B. (2005). T-optimum designs for discrimination between two multivariate dynamic models,: 3-18.
  66. Uciński, D. and Chen, Y. (2005). Time-optimal path planning of moving sensors for parameter estimation of distributed systems,, (on CD-ROM).
  67. Uciński, D. and Chen, Y. (2006). Sensor motion planning in distributed parameter systems using Turing's measure of conditioning,, (on CD-ROM).
  68. Uciński, D. and Demetriou, M. A. (2008). Resource-constrained sensor routing for optimal observation of distributed parameter systems,, (on CD-ROM).
  69. Uciński, D. and Korbicz, J. (2001). Optimal sensor allocation for parameter estimation in distributed systems,(3): 301-317.
  70. Uciński, D. and Patan, M. (2007). D-optimal design of a monitoring network for parameter estimation of distributed systems,: 291-322.
  71. Uspenskii, A. B. and Fedorov, V. V. (1975)., Moscow University Press, Moscow, (in Russian).
  72. van de Wal, M. and de Jager, B. (2001). A review of methods for input/output selection,(4): 487-510.
  73. Vogel, C. R. (2002)., Frontiers in Applied Mathematics, Society for Industrial and Applied Mathematics, Philadelphia, PA.
  74. von Stryk, O. (1999)., Simulation, Systems Optimization and Robotics Group, Technical University of Darmstadt.
  75. Walter, É. and Pronzato, L. (1990). Qualitative and quantitative experiment design for phenomenological models—A survey,(2): 195-213.
  76. Walter, É. and Pronzato, L. (1997)., Communications and Control Engineering, Springer-Verlag, Berlin.
  77. Zhao, F. and Guibas, L. J. (2004)., Morgan Kaufmann Publishers, Amsterdam.
  78. Zhao, T. and Nehorai, A. (2006). Detecting and estimating biochemical dispersion of a moving source in a semiinfinite medium,(6): 2213-2225.
DOI: https://doi.org/10.2478/v10006-010-0034-2 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 459 - 481
Published on: Sep 27, 2010
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2010 Dariusz Uciński, Maciej Patan, published by University of Zielona Góra
This work is licensed under the Creative Commons License.