Optimal mobile sensing and actuation policies in cyber-physical systems

Optimal Mobile Sensing and Actuation Policies in Cyber-physical Systems

Volumn 9781447122623, Issue , 2012, Pages 1-170

  Tricaud, Christophe ^a   Chen, Yangquan ^b  

^a CUMMINS INC   (United States)

^b Utah State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTUATORS; EMBEDDED SYSTEMS; NATIONAL SECURITY;

APPLICATION EXAMPLES; DISTRIBUTED PARAMETER SYSTEMS; ENVIRONMENTAL SCIENCE; HARDWARE AND SOFTWARE; OPTIMAL OBSERVATION; PHYSICAL ENVIRONMENTS; SENSORS AND ACTUATORS; TRAJECTORY PLANNING;

CYBER PHYSICAL SYSTEM;

EID: 84949179292     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4471-2262-3     Document Type: Book

References (175)

1. http://www.twitter.com.
2. MAS-net: Mobile actuator sensor networks. http://mechatronics.ece.usu.edu/mas-net/, 2002.
3. NSF Workshop on Cyber-Physical Systems. http://warma.ece.cmu.edu/cps/, October 2006.
4. The First International Workshop on Cyber-Physical Systems. http://www.qhdctc.com/ wcps2008/, June 2008.
5. International Journal of Social Computing and Cyber-Physical Systems (2009) Interscience Publishers.
6. Abdelzaher T (2006) Towards an architecture for distributed cyber-physical systems. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
7. Adam N (2009) Cyber-physical systems security. In: CSIIRW '09: proceedings of the 5th annual workshop on cyber security and information intelligence research, New York, NY, USA. ACM, New York, p 1.
8. Afifi L, El Jai A, Zerrik E (2005) Regional analysis of linear distributed parameter systems. Princeton University Press, Princeton.
9. Agrawal OP (1989) On a general formulation for the numerical solution of optimal control problems. Int J Control 50(2):627-638.
10. Agrawal OP (2004) A general formulation and solution scheme for fractional optimal control problems. Nonlinear Dyn 38(1):323-337.
11. Agrawal OP (2008) Fractional optimal control of a distributed system using eigenfunctions. ASME J Comput Nonlinear Dyn 3(2):021204-1-021204-6.
12. Agrawal OP (2008) A quadratic numerical scheme for fractional optimal control problems. ASME J Dyn Syst Meas Control 130(1):011010-1-011010-6.
13. Agrawal OP, Baleanu D (2007) A Hamiltonian formulation and a direct numerical scheme for fractional optimal control problems. J Vib Control 13(9-10):1269-1281.
14. Amouroux M, Babary JP (1988) Sensor and control location problems. In: Singh MG (ed) Systems & control encyclopedia. Theory, technology, applications, vol 6. Pergamon Press, Oxford, pp 4238-4245.
15. Atkins EM (2006) Cyber-physical aerospace: challenges and future directions in transportation and exploration systems. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
16. Atkinson AC, Donev AN (1992) Optimum experimental designs. Clarendon Press, Oxford.
17. Baker DG (1982) Synoptic-scale and mesoscale contributions to objective operational maximum-minimum temperature forecast errors. Mon Weather Rev 110(3):163-169.
18. Banks HT, Kunisch K (1989) Estimation techniques for distributed parameter systems. Systems & control: foundations & applications. Birkhäuser, Boston.
19. Banks HT, Smith RC, Wang Y (1996) Smart material structures: modeling, estimation and control. Research in applied mathematics. Masson, Paris
20. Banks HT (1992) Control and estimation of distributed parameter systems. Society for Industrial and Applied Mathematics, Philadelphia.
21. Batchelor GK (1967) An introduction to fluid dynamics. Cambridge University Press, Cambridge.
22. Benestad R, Hanssen-Bauer I, Chen D (2008) Empirical-statistical downscaling. World Scientific, Singapore.
23. Bennet AF (1992) Inverse methods in physical oceanography. Cambridge University Press, Cambridge.
24. Bennet AF (2002) Inverse modeling of the ocean and atmosphere. Cambridge University Press, Cambridge.
25. Bennet AF, Chua BS, Leslie LM (1996) Generalized inversion of a global numerical weather prediction model. Meteorol Atmos Phys 60(1-3):165-178.
26. Boggs PT, Tolle JW (1995) Sequential quadratic programming. Acta Numer 4(1):1-51.
27. Bonakdarpour B (2008) Challenges in transformation of existing real-time embedded systems to cyber-physical systems. SIGBED Rev 5(1):1-2.
28. Burns A (2006) Modeling temporal behavior in complex cyber-physical systems: position paper. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
29. Campbell J, Goldstein S, Mowry T (2006) Cyber-physical systems. In: Proceedings of the. 2006 NSF workshop on cyber-physical systems.
30. Cárdenas AA, Amin S, Sinopoli B, Giani A, Perrig A, Sastry S (2010) Challenges for securing cyber physical systems.
31. Cassandras CG, Li W (2005) Sensor networks and cooperative control. Eur J Control 11(4-5):436-463.
32. Chao H, Baumann M, Jensen A, Chen YQ, Cao Y, Ren W, McKee M (2008) Bandreconfigurable multi-UAV-based cooperative remote sensing for real-time water management and distributed irrigation control. In: Proceedings of the 2008 IFAC world congress, July. 2008.
33. Chen P (2005) Pattern formation in mobile wireless sensor networks. Master's thesis, Utah State University.
34. Chen YQ (2008) Mobile actuator/sensor networks (MAS-net) for cyber-physical systems. USU ECE 6800 Graduate Colloquium, http://www.neng.usu.edu/classes/ece/6800/, September.
35. Chen YQ, Moore KL (2002) Discretization schemes for fractional-order differentiators and integrators. IEEE Trans Circuits Syst I, Fundam Theory Appl 49(3):363-367.
36. Chen YQ, Vinagre BM, Podlubny I (2004) Continued fraction expansion approaches to discretizing fractional order derivatives-an expository review. Nonlinear Dyn 38(1-4):155-. 170.
37. Chen YQ (2006) Band-reconfigurable multi-UAV based cooperative remote sensing for realtime water management, distributed irrigation control and ecological inferential measurements. http://mechatronics.ece.usu.edu/uav+water/, May.
38. Chen YQ (2009) Mobile actuator and sensor networks (MAS-net) for cyber-physical systems (CPS). http://www.ieeeiciea.org/2009/download/lecture4.pdf, May.
39. Chen YQ, Moore KL, Song Z (2004) Diffusion boundary determination and zone control via mobile actuator-sensor networks (MAS-net): challenges and opportunities. In: Proceedings of SPIE: intelligent computing: theory and applications, vol 5421, pp 102-113.
40. Chen YQ, Schwartz AL (2002) RIOTS-95-aMATLAB toolbox for solving general optimal control problems and its applications to chemical processes. In: Recent developments in optimization and optimal control in chemical engineering, pp 229-252. ISBN 81-7736-088-4.
41. Chong C-Y, Kumar SP (2003) Sensor networks: evolution, opportunities, and challenges. Proc IEEE 91(8):1247-1256.
42. Christensen JH, Räisänen J, Iversen T, Bjørge D, Christensen OB, Rummukainen M (2001) A synthesis of regional climate change simulations-A Scandinavian perspective. Geophys Res Lett 28:1003-1006.
43. Christensen JH, Christensen OB (2003) Climate modelling: severe summertime flooding in Europe. Nature 421(6925):805-806.
44. Christensen OB, Christensen JH, Machenhauer B, Botzet M (1998) Very high-resolution regional climate simulations over Scandinavia-present climate. J Climate 11:3204-3229.
45. Christofides PD (2001) Nonlinear and robust control of PDE systems: methods and applications to transport-reaction processes. Systems & control: foundations & applications. Birkhäuser, Boston.
46. Cook J (2006) Cyber-physical systems and the twenty-first century automobile. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
47. Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273-297.
48. Culler D, Estrin D, Srivastava M (2004) Overview of sensor networks. IEEE Comput. 37(8):41-49.
49. Daescu DN, Navon IM (2004) Adaptive observations in the context of 4D-Var data assimilation. Meteorol Atmos Phys 85:205-226.
50. Demetriou MA (2010) Design of consensus and adaptive-consensus filters for distributed parameter systems. Automatica 46:300-311.
51. Demetriou MA (2010) Guidance of mobile actuator-plus-sensor networks for improved control and estimation of distributed parameter systems. IEEE Trans Autom Control 55:1570-1584.
52. Demetriou MA, Hussein II (2009) Estimation of spatially distributed processes using mobile spatially distributed sensor network. SIAM J Control Optim 48:266-291.
53. Douglas CC, Lodder R, Mandel J, Vodacek A (2006) Cyber-physical systems and wildland fire or contaminant identification and tracking dynamic data-driven application systems. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
54. Dunbar WB (2007) Distributed receding horizon control of dynamically coupled nonlinear systems. IEEE Trans Autom Control 52(7):1249-1263.
55. El Jai A, Pritchard A (1993) Regional controllability of distributed systems. In: Curtain R, Bensoussan A, Lions J (eds) Analysis and optimization of systems: state and frequency domain approaches for infinite-dimensional systems. Lecture notes in control and information sciences, vol 185. Springer, Berlin, pp 326-335.
56. El Jai A (1991) Distributed systems analysis via sensors and actuators. Sens Actuators A, Phys 29:1-11.
57. Ermakov SM (ed) (1983) Mathematical theory of experimental design. Nauka, Moscow (in Russian).
58. Evensen G (2006) Data assimilation: the ensemble Kalman filter. Springer, New York.
59. Eyre JR (1997) Variational assimilation of remotely-sensed observations of the atmosphere. J Meteorol Soc Jpn 75(1B):331-338.
60. Fedorov VV, Hackl P (1997) Model-oriented design of experiments. Lecture notes in statistics. Springer, New York.
61. Fedorov VV (1989) Optimal design with bounded density: optimization algorithms of the exchange type. J Stat Plan Inference 22:1-13.
62. Fedorov VV, Hackl P (1997) Model-oriented design of experiments. Lecture notes in statistics. Springer, New York.
63. Frederico G, Torres D (2006) Noether's theorem for fractional optimal control problems. In: Proc. of the 2nd IFAC workshop on fractional differentiation and its applications, Porto, Portugal, 19-21 July, 2006.
64. Frederico G, Torres D (2007) Fractional conservation laws in optimal control theory. Nonlinear dynamics, November.
65. Frederico G, Torres D (2008) Fractional optimal control in the sense of Caputo and the fractional Noether's theorem. Int Math Forum 3(10):479-493.
66. Fuhrman T (2006) Position paper for NSF workshop on cyber-physical systems. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
67. Futagami T, Tzafestas SG, Sunahara Y (eds) (1989) Distributed parameter systems- modelling and simulation: proceedings of the IMACS-IFAC international symposium. Elsevier, New York.
68. Garrett J, Moura J, Sandefilippo M (2006) Sensor-data driven proactive management of infrastructure systems. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
69. Gill H, Zhao W, Znati T (2008) Call for papers for a special issue of on distributed cyber physical systems. IEEE Trans Parallel Distrib Syst 19(8):1150-1151.
70. Goddard S, Deogun JS (2006) Future mobile cyber-physical systems: spatio-temporal computational environments. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
71. Grades H Healthgrades fourth annual patient safety in American hospitals study.
72. (CPS Steering Group) (2008) Cyber-physical systems executive summary. In: Cyber-physical systems summit. http://varma.ece.cmu.edu/summit/CPS-Executive-Summary.pdf.
73. Gruver WA, Sachs E (1980) Algorithmic methods in optimal control. Pitman, London.
74. Heemink AW, Verlaan M, Segers AJ (2000) Variance reduced ensemble Kalman filtering.
75. Hou J, Sha L (2006) A reference architecture for building cyber-physical spaces for independent/ assisted living. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
76. Hsu CS, Hou D (1990) Linear approximation of fractional transfer functions of distributed parameter systems. Electron Lett 26(15):1211-1213.
77. Huang XY, Yang X (1996) Variational data assimilation with the Lorenz model. Springer, Berlin.
78. IqbalM, Lim HB (2009) A cyber-physical middleware framework for continuous monitoring of water distribution systems. In: SenSys '09: proceedings of the 7th ACM conference on embedded networked sensor systems. ACM, New York, pp 401-402.
79. El Jai A (1991) Distributed systems analysis via sensors and actuators. Sens Actuators A, Phys 29(1):1-11.
80. El Jai A, Simon M, Zerrik E (1993) Regional observability and sensor structures. Sens Actuators A, Phys 39(2):95-102.
81. Jain N, Agrawal DP (2005) Current trends in wireless sensor network design. Int J Dist Sensor Netw 1:101-122.
82. Jennings LS, FisherME, Teo KL, Goh CJ (2002) MISER 3: optimal control software, version. 2.0. Theory and user manual. Department of Mathematics, University of Western Australia, Nedlands.
83. Jensen A, Baumann M, Chen YQ (2008) Low-cost multispectral aerial imaging using autonomous runway-free small flying wing vehicles. In: Proceedings of the 2008 geoscience and remote sensing symposium (IGARSS 2008).
84. Jeremíc A, Nehorai A (1998) Design of chemical sensor arrays for monitoring disposal sites on the ocean floor. IEEE Trans Oceanic Eng 23(4):334-343.
85. Jeremíc A, Nehorai A (2000) Landmine detection and localization using chemical sensor array processing. IEEE Trans Signal Process 48(5):1295-1305.
86. Kaheil YH, Gill MK, McKee M, Bastidas LA, Rosero E (2008) Downscaling and assimilation of surface soil moisture using ground truth measurements. IEEE Trans Geosci Remote Sens 46(5):1375-1384.
87. Kiefer J, Wolfowitz J (1959) Optimum designs in regression problems. Ann Math Stat. 30:271-294.
88. Kim C, Yun H, Sun M, Mohan S, Al-Nayeem A, Sha L, Abdelzaher T (2009) A framework for wireless integration in interoperable real-time medical systems. Department of Computer Science, University of Illinois at Urbana-Champaign.
89. Kim JW, Chang JT, Baker NL, Wilks DS, Gates WL (1984) The statistical problem of climate inversion: determination of the relationship between local and large-scale climate. Mon Weather Rev 112(10):2069-2077.
90. Klein WH (1948) Winter precipitation as related to the 700-millibar circulation. Bull Am Meteorol Soc 29(9):439-453.
91. Koushanfar F, Zhong L (2006) Building an integrated cyber-infrastructure: a micro/macro health services case study. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
92. Kubrusly CS, Malebranche H (1985) Sensors and controllers location in distributed systems-a survey. Automatica 21(2):117-128
93. Kumar S, Seinfeld J (2003) Optimal location of measurements for distributed parameter estimation. IEEE Trans Autom Control 23(4):690-698.
94. Lee EA (2007) Computing foundations and practice for cyber-physical systems: a preliminary report. Technical report UCB/EECS-2007-72, http://chess.eecs.berkeley.edu/pubs/306.html, University of California, Berkeley, May.
95. Lee EA (2008) Cyber physical systems: design challenges. Technical report, EECS Department, University of California, Berkeley, January.
96. Lee I, Sokolsky O (2010) Medical cyber physical systems. In: Proceedings of the 47th design automation conference. ACM, New York, pp 743-748.
97. Liberatore V (2007) Networked cyber-physical systems: an introduction. In: Proceedings of the 2007 NSF workshop on data management for mobile sensor networks.
98. Lorenc AC (1986) Analysis methods for numerical weather prediction. Q J R Meteorol Soc. 112(474):1177-1194.
99. McMillin B, Gill C, Crow ML, Liu F, Niehaus D, Potthast A, Tauritz D (2006) Cyberphysical systems engineering: the advanced power grid. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
100. Menke W (1984) Geophysical data analysis: discrete inverse theory. Academic Press, San Diego.
101. Mitola J (2000) An integrated agent architecture for software defined radio.
102. Moore KL, Chen YQ, Song Z (2004) Diffusion-based path planning in mobile actuator- sensor networks (MAS-net): some preliminary results. In: Proceedings of SPIE: intelligent computing: theory and applications, vol 5421, pp 58-69.
103. Nakano K, Sagara S (1981) Optimal measurement problem for a stochastic distributed parameter system with movable sensors. Int J Syst Sci 12(12):1429-1445.
104. Navon IM (1997) Practical and theoretical aspects of adjoint parameter estimation and identifiability in meteorology and oceanography. Dyn Atmos Ocean 27:55-79.
105. Nehorai A, Porat B, Paldi E (1995) Detection and localization of vapor-emitting sources. IEEE Trans Signal Process 43(1):243-253.
106. Noble BD, Flinn J (2006) Wireless, self-organizing cyber-physical systems. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
107. Ögren P, Fiorelli E, Leonard NE (2004) Cooperative control ofmobile sensor networks: adaptive gradient climbing in a distributed environment. IEEE Trans Autom Control 49(8):1292-. 1302.
108. Oldham K, Spanier J (1974) The fractional calculus: theory and applications of differentiation and integration to arbitrary order. Mathematics in science and engineering, vol V. Academic Press, San Diego.
109. Omatu S, Seinfeld JH (1989) Distributed parameter systems: theory and applications. Oxford mathematical monographs. Oxford University Press, New York.
110. Oustaloup A, Levron F, Mathieu B (2000) Frequency-band complex noninteger differentiator: characterization and synthesis. IEEE Trans Circuits Syst I, Fundam Theory Appl. 47(1):25-39.
111. Patan M (2004) Optimal observation strategies for parameter estimation of distributed systems. PhD thesis, University of Zielona Góra, Zielona Góra, Poland.
112. Patan M, Tricaud C, Chen YQ (2008) Resource-constrained sensor routing for parameter estimation of distributed systems. In: Proc. 17th IFAC world congress, Seoul, Korea. Published on CD-ROM.
113. Paustian K (2007) Fundamentals of soil ecology, 2nd ed. Agric Syst 94(2):603-604.
114. Polak E (1993) On the use of consistent approximations in the solution of semi-infinite optimization and optimal control problems. Math Program: Ser A and B 62(2):385-414.
115. Polak E (1997) Optimization. Algorithms and consistent approximations. Applied mathematical sciences. Springer, New York.
116. Porat B, Nehorai A (1996) Localizing vapor-emitting sources by moving sensors. IEEE Trans Signal Process 44(4):1018-1021.
117. Pukelsheim F (2006) Optimal design of experiments (classics in applied mathematics), vol 50. Society for Industrial and Applied Mathematics, Philadelphia.
118. Quereshi ZH, Ng TS, Goodwin GC (1980) Optimum experimental design for identification of distributed parameter systems. Int J Control 31(1):21-29.
119. Rafajlowicz E (1986) Optimum choice of moving sensor trajectories for distributed parameter system identification. Int J Control 43(5):1441-1451.
120. Rafajlowicz E (1996) Algorithms of experimental design with implementations in MATHEMATICA. Akademicka Oficyna Wydawnicza PLJ, Warsaw (in Polish).
121. Ramaprasad H (2008) Providing end-to-end guarantees in cyber-physical systems. Technical report, Southern Illinois University Carbondale, October.
122. Reichle RH, Walker JP, Koster RD, Houser PR (2002) Extended versus ensemble Kalman filtering for land data assimilation. J Hydrometeorol 3:728-740.
123. Reichle RH (2008) Data assimilation methods in the earth sciences. Adv Water Resour. 31(11):1411-1418 Hydrologic Remote Sensing.
124. Sagara S, Nakano K, Soji K (1980) Optimal sensor allocation strategies considering observability in linear distributed-parameter systems. Electr Eng Jpn 100(4):135-142.
125. Schwartz AL (1996) Theory and implementation of numerical methods based on Runge- Kutta integration for solving optimal control problems. PhD thesis, University of California, Berkeley.
126. Schwartz AL, Polak E, Chen YQ (1997) A MATLAB toolbox for solving optimal control problems. Version 1.0 for Windows, May.
127. Seuffert G,Wilker H, Viterbo P, DruschM,Mahfouf J-F (2004) The usage of screen-level parameters and microwave brightness temperature for soil moisture analysis. J Hydrometeorol. 5:516-531.
128. Sinopoli B, Sharp C, Schenato L, Schaffert S, Sastry SS (2003) Distributed control applications within sensor networks. Proc IEEE 91(8):1235-1246.
129. Smith RC, Demetriou M (2003) Research directions in distributed parameter systems. Society for Industrial and Applied Mathematics, Philadelphia.
130. Song Z, Chen YQ, Liang J, Uciński D (2005) Optimal mobile sensor motion planning under nonholonomic constraints for parameter estimation of distributed parameter systems. In: IEEE/RSJ International Conference on Intelligent Robots and Systems.
131. Song Z, Chen YQ, Sastry CR, Tas NC (2009) Optimal observation for cyber-physical systems: a fisher-information-matrix-based approach. Springer, Berlin.
132. Sun N-Z (1994) Inverse problems in groundwater modeling. Theory and applications of transport in porous media. Kluwer Academic, Dordrecht.
133. Tabuada P (2006) Cyber-physical systems: position paper. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
134. Tan Y, Goddard S, Pérez LC (2008) A prototype architecture for cyber-physical systems. SIGBED Rev 5(1):1-2.
135. Tan Y, Vuran MC, Goddard S (2009) Spatio-temporal event model for cyber-physical systems. In: International conference on distributed computing systems workshops, pp 44-50.
136. Tang H, McMillin BM (2008) Security property violation in CPS through timing. In: ICDCSW '08: proceedings of the 2008 28th international conference on distributed computing systems workshops, Washington, DC, USA, 2008. IEEE Comput Soc, Los Alamitos, pp. 519-524.
137. Tarantola A (1987) Inverse problem theory. Methods for data fitting and model parameter estimation. Amsterdam, Elsevier.
138. Tarantola A, Valette B (1982) Inverse problems = quest for information. J Geophys 50:159-. 170.
139. Tilmans HAC (1997) Equivalent circuit representation of electromechanical transducers: II. Distributed-parameter systems. J Micromech Microeng 7(4):285.
140. Tippett MK, Anderson JL, Bishop CH, Hamill TM, Whitaker JS (2003) Ensemble square root filters. Mon Weather Rev 131:1485-1490.
141. Tricaud C, Chen YQ (2008) Optimal mobile sensing policy for parameter estimation of distributed parameter systems finite horizon closed-loop solution. In: Proceedings of the 18th international symposium on mathematical theory of networks and systems (MTNS08), July. 2008. SIAM, Philadelphia.
142. Tricaud C, Chen YQ (2008) Solving fractional order optimal control problems in RIOTS-95-a general purpose optimal control problems solver. In: Proceedings of the 3rd IFAC workshop on fractional differentiation and its applications, November 2008.
143. Tricaud C, Chen YQ (2010) Time-optimal control of systems with fractional dynamics. International Journal of Differential Equations.
144. Tricaud C, Patan M, Uciński D, Chen YQ (2008) D-optimal trajectory design of heterogeneous mobile sensors for parameter estimation of distributed systems. In: Proc. 2008 American control conference, Seattle, Washington, USA, 2008. Published on CD-ROM.
145. Tsai JJP, Yu PS (2009) Machine learning in cyber trust: security, privacy, and reliability. Springer, Berlin.
146. Uciński D (2000) Optimal sensor location for parameter estimation of distributed processes. International Journal of Control 73(13).
147. Uciński D (2005) Optimal measurement methods for distributed-parameter system identification. CRC Press, Boca Raton.
148. Uciński D (1998) A robust approach to the design of optimal trajectories of moving sensors for distributed-parameter systems identification. In: Beghi A, Finesso L, Picci G (eds) Proc. 13th int symp mathematical theory of networks and systems, Padova, Italy, 6-10 July, 1998. Il Poligrafo, Padova, pp 551-554.
149. Uciński D (1998) Towards a robust-design approach to optimal location of moving sensors in parameter identification of DPS. In: Domek S, Kaszyński R, Tarasiejski L (eds) Proc 5th int symp methods and models in automation and robotics, Międzyzdroje, Poland, 25-29 August,. 1998, vol 1. Wyd Uczelniane Polit Szczecińskiej, Szczecin, pp 85-90.
150. Uciński D (1999) Measurement optimization for parameter estimation in distributed systems. Technical University Press, Zielona Góra.
151. Uciński D (1999) A technique of robust sensor allocation for parameter estimation in distributed systems. In: Frank PM (ed) Proc 5th European control conf, Karlsruhe, Germany, August 31-September 3. Published on CD-ROM. 1999, EUCA.
152. Uciński D (2005) Sensor network design for parameter estimation of distributed systems using nonsmooth optimality criteria. In: Proc. 44th IEEE conference on decision and control, and the European control conference 2005, Seville, Spain, 2005. Published on CD-ROM.
153. Uciński D, Chen YQ (2005) Time-optimal path planning of moving sensors for parameter estimation of distributed systems. In: Proc 44th IEEE conference on decision and control, and the European control conference 2005, Seville, Spain, 2005. Published on CD-ROM.
154. Uciński D, Chen YQ (2006) Sensor motion planning in distributed parameter systems using Turing's measure of conditioning. In: Proc 45th IEEE conference on decision and control, San Diego, CA, 2006. Published on CD-ROM.
155. Uciński D, Korbicz J (1999) On robust design of sensor trajectories for parameter estimation of distributed systems. In: Proc. 14th IFAC world congress, Beijing, China, 5-9 July, 1999. Modeling, identification, signal processing I, vol H, pp 73-78.
156. Uciński D, Korbicz J (2001) Optimal sensor allocation for parameter estimation in distributed systems. J Inverse Ill-Posed Probl 9(3):301-317.
157. Ulieru M (2009) eNetworks in an increasingly volatile world: Design for resilience of networked critical infrastructures. In: Proceedings of the IEEE conference on digital ecosystems. 2009.
158. van deWal M, de Jager B (2001) A review of methods for input/output selection. Automatica. 37:487-510.
159. von Storch H, Hewitson B, Mearns L (2000) Review of empirical downscaling techniques. Technical report, Regional Climate Development Under Global Warming.
160. von Storch H, Zorita E, Cubasch U (1993) Downscaling of global climate change estimates to regional scales: an application to Iberian rainfall in wintertime. J Climate 6:1161-1171.
161. von Stryk O (1999) User's guide for DIRCOL, a direct collocation method for the numerical solution of optimal control problems. Version 2.1. Fachgebiet Simulation und Systemoptimierung, Technische Universität Darmstadt, November.
162. Walter E, Pronzato L (1997) Identification of parametric models from experimental data. Communications and control engineering. Springer, Berlin.
163. Bai EW, Fu M, Tempo R, Ye Y (1998) Analytic center approach to parameter estimation: convergence analysis, http://citeseerx.ist.psu.edu/viewdoc/summarydoi=10.1.1.52.4371.
164. West R, Parmer G (2006) A software architecture for next-generation cyber-physical systems. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
165. Wikipedia. Control systems. Wikibooks, the open-content textbooks collection, 2008.
166. Wilby RL, Hassan H, Hanaki K (1998) Statistical downscaling of hydrometeorological variables using general circulation model output. J Hydrol 205(1-2):1-19.
167. Wilks DS (2006) Statistical methods in the atmospheric sciences: an introduction. Amsterdam, Elsevier.
168. Work D, Bayen A, Jacobson Q (2008) Automotive cyber-physical systems in the context of human mobility. National workshop on high-confidence automotive cyber-physical systems.
169. Xia F (2008) QoS challenges and opportunities in wireless sensor/actuator networks. Sensors. 8(2):1099-1110.
170. Xie F (2006) Component-based cyber-physical systems. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
171. Xue D, Chen YQ, Atherton D (2007) Linear feedback control: analysis and design with MATLAB. Philadelphia, SIAM.
172. Yau DK, Hou JC, Mallikarjun S, Rao NS (2006) Systems support for radiational plume detection, identification, and tracking sensor-cyber networks. In: Proceedings of the 2006 NSF workshop on cyber-physical systems.
173. Zamani M, Karimi-Ghartemani M, Sadati N (2007) FOPID controller design for robust performance using particle swarm optimization. Fract Calc Appl Anal 10(2):169-188.
174. Zhao F, Guibas LJ (2004) Wireless sensor networks: an information processing approach. Kaufmann, Amsterdam.
175. Zöbel D (2006) Autonomous driving in goods transport. In: Proceedings of the 2006 NSF workshop on cyber-physical systems