Abstract
This chapter presents very important definitions in the framework of DPSs. We define the dynamic equations of the system and give mathematical descriptions of a sensor and an actuator. From those definitions we introduce the concepts of regional controllability and observability. Then, we describe the dynamics of the system in an appropriate way for the FIM framework of optimal sensor location for parameter estimation. We give the definitions of the parameter estimation and optimal sensor location. Finally, we discuss two of the important issues of the FIM framework: the sensor clustering phenomenon and the dependence of the solution on initial parameter estimates using an illustrative example.
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References
Afifi L, El Jai A, Zerrik E (2005) Regional analysis of linear distributed parameter systems. Princeton University Press, Princeton
Atkinson AC, Donev AN (1992) Optimum experimental designs. Clarendon Press, Oxford
Banks HT, Kunisch K (1989) Estimation techniques for distributed parameter systems. Systems & control: foundations & applications. Birkhäuser, Boston
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
El Jai A (1991) Distributed systems analysis via sensors and actuators. Sens Actuators A, Phys 29:1–11
Fedorov VV, Hackl P (1997) Model-oriented design of experiments. Lecture notes in statistics. Springer, New York
El Jai A (1991) Distributed systems analysis via sensors and actuators. Sens Actuators A, Phys 29(1):1–11
El Jai A, Simon M, Zerrik E (1993) Regional observability and sensor structures. Sens Actuators A, Phys 39(2):95–102
Omatu S, Seinfeld JH (1989) Distributed parameter systems: theory and applications. Oxford mathematical monographs. Oxford University Press, New York
Patan M (2004) Optimal observation strategies for parameter estimation of distributed systems. PhD thesis, University of Zielona Góra, Zielona Góra, Poland
Quereshi ZH, Ng TS, Goodwin GC (1980) Optimum experimental design for identification of distributed parameter systems. Int J Control 31(1):21–29
Rafajłowicz E (1986) Optimum choice of moving sensor trajectories for distributed parameter system identification. Int J Control 43(5):1441–1451
Sun N-Z (1994) Inverse problems in groundwater modeling. Theory and applications of transport in porous media. Kluwer Academic, Dordrecht
Uciński D (2000) Optimal sensor location for parameter estimation of distributed processes. International Journal of Control 73(13)
Uciński D (2005) Optimal measurement methods for distributed-parameter system identification. CRC Press, Boca Raton
Walter É, Pronzato L (1997) Identification of parametric models from experimental data. Communications and control engineering. Springer, Berlin
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Tricaud, C., Chen, Y. (2012). Distributed Parameter Systems: Controllability, Observability, and Identification. In: Optimal Mobile Sensing and Actuation Policies in Cyber-physical Systems. Springer, London. https://doi.org/10.1007/978-1-4471-2262-3_2
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DOI: https://doi.org/10.1007/978-1-4471-2262-3_2
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2261-6
Online ISBN: 978-1-4471-2262-3
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