An approach to the selection of optimal sensor locations in distributed parameter systems
By A. V. Vande Wouwer, N. Point, S. Porteman, M. Remy. 2000
152 citations recorded by the source corpus.
Abstract This paper presents an approach to the selection of optimal sensor locations in distributed parameter systems, which distinguishes the purposes of state estimation from the purposes of parameter estimation. In the first case, the optimality criterion is based on a measure of independence between the sensor responses, while in the second case, it is based on a measure of independence between the parameter sensitivity functions. The procedure, which is general and can be applied to models with any degree of complexity, is illustrated with the optimal placement of temperature sensors in a catalytic fixed-bed reactor. Some numerical results for the on-line estimation of temperature and concentration profiles as well as for the estimation of unknown model parameters are discussed.
Subfields: Control and Systems Engineering, Materials Chemistry, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/4119b6da8e925d1e5205f5d351472d51708441eb
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In Control and Systems Engineering
- Emmanuel Trélat
- Enrique Zuazua
- Yannick Privat
- Sylvain Ervedoza
- Xu Zhang
- Piermarco Cannarsa
- Genni Fragnelli
- Nazim Idrisoglu Mahmudov
Citations in the corpus
- Optimal Shape and Location of Sensors for Parabolic Equations with Random Initial Data (2014, background): “Indeed, in many contributions, numerical tools are developed to solve a simplified version of the optimal design problem where either the partial differential equation has been replaced with a discrete approximation, or the class of optimal designs is replaced with a compact finite dimensional set (”