Application of Observability in Performance Evaluation of Photosynthesis Model

Authors

Hongnai Gao, School of Internet of Things Engineering, Jiangnan university, Wuxi 214122, China;Follow
Lijiang Fu, School of Internet of Things Engineering, Jiangnan university, Wuxi 214122, China;
Qian Xia, School of Internet of Things Engineering, Jiangnan university, Wuxi 214122, China;
Ya Guo, School of Internet of Things Engineering, Jiangnan university, Wuxi 214122, China;Follow

Abstract

Abstract: The photochemical reaction of photosynthesis involves a variety of physiological substances that cannot be directly measured. By modeling the control system, the state of these physiological substances can be es-timated based on the chlorophyll fluorescence, but the reliability of the state estimation is not given in all the reference documents. In response to this problem, based on the photochemical reaction kinetic model, the observability of the nonlinear system is introduced to evaluate the reliability of the state estimation. Aiming at the existing observability methods lacking the direct comparability due to the different dimensions of the components of different states, the method of magnitude impact factor and logarithmic normalization is adopted to eliminate the impact of magnitude to improve the observability measurement of the model and strategy is proposed to improve the system observability. The simulation results show that the new observ-ability index is basically consistent with the error characteristics of the state estimation, which can better evaluate the state estimation effect of the model.

Recommended Citation

Gao, Hongnai; Fu, Lijiang; Xia, Qian; and Guo, Ya (2022) "Application of Observability in Performance Evaluation of Photosynthesis Model," Journal of System Simulation: Vol. 34: Iss. 6, Article 16.
DOI: 10.16182/j.issn1004731x.joss.21-0056
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss6/16

First Page

1330

Revised Date

2021-04-15

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0056

Last Page

1342

CLC

TP391.9

Recommended Citation

Hongnai Gao, Lijiang Fu, Qian Xia, Ya Guo. Application of Observability in Performance Evaluation of Photosynthesis Model[J]. Journal of System Simulation, 2022, 34(6): 1330-1342.

Corresponding Author

Ya Guo,guoy@jiangnan.edu.cn

DOI

10.16182/j.issn1004731x.joss.21-0056