Distributed scheduling of sensor networks for identification of spatio-temporal processes

Amouroux, M. and Babary, J. P. (1988). Sensor and control location problems, in M. G. Singh (Ed.), Systems & Control Encyclopedia. Theory, Technology, Applications, Vol. 6, Pergamon Press, Oxford, pp. 4238-4245.Search in Google Scholar

Atkinson, A. C., Donev, A. N. and Tobias, R. (2007). Optimum Experimental Design, with SAS, Oxford University Press, Oxford.Search in Google Scholar

Boyd, S., Ghosh, A., Prabhakar, B. and Shah, D. (2006). Randomized gossip algorithms, IEEE Transactions on Information Theory 52(6): 2508-2530.10.1109/TIT.2006.874516Search in Google Scholar

Braca, P., Marano, S. and Matta, V. (2008). Enforcing consensus while monitoring the environment in wireless sensor network, IEEE Transactions on Signal Processing 56(7): 3375-3380.10.1109/TSP.2008.917855Search in Google Scholar

Cassandras, C. G. and Li, W. (2005). Sensor networks and cooperative control, European Journal of Control 11(4-5): 436-463.10.3166/ejc.11.436-463Search in Google Scholar

COMSOL AB (2007). COMSOLMultiphysics Modelling Guide, ver. 3.4.Search in Google Scholar

Demetriou, M. A. (2000). Activation policy of smart controllers for flexible structures with multiple actuator/sensor pairs, Proceedings of the 14th International Symposium on Mathematical Theory of Networks and Systems, Perpignan, France, (on CD-ROM).Search in Google Scholar

Demetriou, M. A. and Hussein, I. I. (2009). Estimation of spatially distributed processes using mobile spatially distributed sensor network, SIAM Journal on Control and Optimization 48(1): 266-291.10.1137/060677884Search in Google Scholar

Fedorov, V. V. and Hackl, P. (1997). Model-Oriented Design of Experiments, Lecture Notes in Statistics, Vol. 125, Springer-Verlag, New York, NY.Search in Google Scholar

Jeremić, A. and Nehorai, A. (2000). Landmine detection and localization using chemical sensor array processing, IEEE Transactions on Signal Processing 48(5): 1295-1305.10.1109/78.839977Search in Google Scholar

Joshi, S. and Boyd, S. (2009). Sensor selection via convex optimization, IEEE Transactions on Signal Processing 57(2): 451-462.10.1109/TSP.2008.2007095Search in Google Scholar

Kempe, D., Dobra, A. and Gehrke, J. (2003). Gossip-based computation of aggregate information, Proceedings of the Conference on Foundations of Computer Science, Cambridge, MA, USA, pp. 482-491.Search in Google Scholar

Kubrusly, C. S. and Malebranche, H. (1985). Sensors and controllers location in distributed systems—A survey, Automatica 21(2): 117-128.10.1016/0005-1098(85)90107-4Search in Google Scholar

Martínez, S. and Bullo, F. (2006). Optimal sensor placement and motion coordination for target tracking, Automatica 42(4): 661-668.10.1016/j.automatica.2005.12.018Search in Google Scholar

Müller, W. G. (2007). Collecting Spatial Data: Optimum Design of Experiments for Random Fields, 3rd Edn., Physica-Verlag, Heidelberg.Search in Google Scholar

Nehorai, A., Porat, B. and Paldi, E. (1995). Detection and localization of vapor-emitting sources, IEEE Transactions on Signal Processing 43(1): 243-253.10.1109/78.365304Search in Google Scholar

Ögren, P., Fiorelli, E. and Leonard, N. E. (2004). Cooperative control of mobile sensor networks: Adaptive gradient climbing in a distributed environment, IEEE Transactions on Automatic Control 49(8): 1292-1302.10.1109/TAC.2004.832203Search in Google Scholar

Patan, M. (2004). Optimal Observation Strategies for Parameter Estimation of Distributed Systems, Zielona Góra University Press, Zielona Góra, available at http://www.zbc.zgora.pl. http://www.zbc.zgora.plSearch in Google Scholar

Patan, M. (2006). Optimal activation policies for continous scanning observations in parameter estimation of distributed systems, International Journal of Systems Science 37(11): 763-775.10.1080/00207720600825560Search in Google Scholar

Patan, M. (2008). A parallel sensor scheduling technique for fault detection in distributed parameter systems, in E. Luque, T. Margalef and D. Benítez (Eds.) Euro-Par 2008: Parallel Processing, Lecture Notes in Computer Science, Vol. 5168, Springer-Verlag, Berlin/Heidelberg, pp. 833-843.10.1007/978-3-540-85451-7_88Search in Google Scholar

Patan, M. (2009a). Decentralized mobile sensor routing for parameter estimation of distributed systems, Proceedings of the 1st IFAC Workshop on Estimation and Control of Networked Systems, NecSys 2009, Venice, Italy, pp. 210-215.10.3182/20090924-3-IT-4005.00036Search in Google Scholar

Patan, M. (2009b). Distributed configuration of sensor networks for parameter estimation in spatio-temporal systems, Proceedings of the European Control Conference, ECC'09, Budapest, Hungary, pp. 4871-4876.Search in Google Scholar

Patan, M., Chen, Y. and Tricaud, C. (2008). Resource-constrained sensor routing for parameter estimation of distributed systems, Proceedings of the 17th IFAC World Congress, Seoul, South Korea, (on DVD-ROM).10.3182/20080706-5-KR-1001.01314Search in Google Scholar

Patan, M. and Patan, K. (2005). Optimal observation strategies for model-based fault detection in distributed systems, International Journal of Control 78(18): 1497-1510.10.1080/00207170500366077Search in Google Scholar

Patan, M. and Uciński, D. (2005). Optimal activation strategy of discrete scanning sensors for fault detection in distributed-parameter systems, Proceedings of the 16th IFAC World Congress, Prague, Czech Republic, (on CD-ROM).10.3182/20050703-6-CZ-1902.01837Search in Google Scholar

Patan, M. and Uciński, D. (2008). Configuring a sensor network for fault detection in distributed parameter systems, International Journal of Applied Mathematics and Computer Science 18(4): 513-524, DOI: 10.2478/v10006-008-0045-4.10.2478/v10006-008-0045-4Search in Google Scholar

Patan, M. and Uciński, D. (2010a). Sensor scheduling with selection of input experimental conditions for identification of distributed systems, Methods and Models in Automation and Robotics, MMAR 2010: 15th International Conference, Międzyzdroje, Poland, pp. 148-153.10.1109/MMAR.2010.5587245Search in Google Scholar

Patan, M. and Uciński, D. (2010b). Time-constrained sensor scheduling for parameter estimation of distributed systems, Proceedings of the 49th IEEE Conference on Decision and Control, Atlanta, GA, USA, pp. 7-12.10.1109/CDC.2010.5717912Search in Google Scholar

Point, N., Vande Wouwer, A. and Remy, M. (1996). Practical issues in distributed parameter estimation: Gradient computation and optimal experiment design, Control Engineering Practice 4(11): 1553-1562.10.1016/0967-0661(96)00169-4Search in Google Scholar

Porat, B. and Nehorai, A. (1996). Localizing vapor-emitting sources by moving sensors, IEEE Transactions on Signal Processing 44(4): 1018-1021.10.1109/78.492560Search in Google Scholar

Quereshi, Z. H., Ng, T. S. and Goodwin, G. C. (1980). Optimum experimental design for identification of distributed parameter systems, International Journal of Control 31(1): 21-29.10.1080/00207178008961025Search in Google Scholar

Rafajłowicz, E. (1983). Optimal experiment design for identification of linear distributed-parameter systems: Frequency domain approach, IEEE Transactions on Automatic Control 28(7): 806-808.10.1109/TAC.1983.1103309Search in Google Scholar

Rafajłowicz, E. (1986). Optimum choice of moving sensor trajectories for distributed parameter system identification, International Journal of Control 43(5): 1441-1451.10.1080/00207178608933550Search in Google Scholar

Rao, M. M. (1987). Measure Theory and Integration, John Wiley & Sons, New York, NY.Search in Google Scholar

Song, Z., Chen, Y., Sastry, C. and Tas, N. (2009). Optimal Observation for Cyber-physical Systems: A Fisher-Information-Matrix-Based Approach, Springer-Verlag, Berlin/Heidelberg.10.1007/978-1-84882-656-4Search in Google Scholar

Sun, N.-Z. (1994). Inverse Problems in Groundwater Modeling, Theory and Applications of Transport in Porous Media, Kluwer Academic Publishers, Dordrecht.Search in Google Scholar

Uciński, D. (2000a). Optimal selection of measurement locations for parameter estimation in distributed processes, International Journal of Applied Mathematics and Computer Science 10(2): 357-379.Search in Google Scholar

Uciński, D. (2000b). Optimal sensor location for parameter estimation of distributed processes, International Journal of Control 73(13): 1235-1248.10.1080/002071700417876Search in Google Scholar

Uciński, D. (2005). Optimal Measurement Methods for Distributed-Parameter System Identification, CRC Press, Boca Raton, FL.10.1201/9780203026786Search in Google Scholar

Uciński, D. and Chen, Y. (2005). Time-optimal path planning of moving sensors for parameter estimation of distributed systems, Proceedings of the 44th IEEE Conference on Decision and Control/European Control Conference 2005, Seville, Spain, (on CD-ROM).Search in Google Scholar

Uciński, D. and Demetriou, M. A. (2004). An approach to the optimal scanning measurement problem using optimum experimental design, Proceedings of the American Control Conference, Boston, MA, USA, (on CD-ROM).10.23919/ACC.2004.1386808Search in Google Scholar

Uciński, D. and Patan, M. (2002). Optimal location of discrete scanning sensors for parameter estimation of distributed systems, Proceedings of the 15th IFAC World Congress, Barcelona, Spain, (on CD-ROM).10.3182/20020721-6-ES-1901.00459Search in Google Scholar

Uciński, D. and Patan, M. (2007). D-optimal design of a monitoring network for parameter estimation of distributed systems, Journal of Global Optimization 39(2): 291-322.10.1007/s10898-007-9139-zSearch in Google Scholar

Uciński, D. and Patan, M. (2010). Sensor network design for the estimation on spatially distributed processes, International Journal of Applied Mathematics and Computer Science 20(3): 459-481, DOI: 10.2478/v10006-010-0034-2.10.2478/v10006-010-0034-2Search in Google Scholar

van de Wal, M. and de Jager, B. (2001). A review of methods for input/output selection, Automatica 37(4): 487-510.10.1016/S0005-1098(00)00181-3Search in Google Scholar

Xiao, L. and Boyd, S. (2004). Fast linear iterations for distributed averaging, Systems and Control Letters 53(1): 65-78.10.1016/j.sysconle.2004.02.022Search in Google Scholar