DOC: update JOSS2 paper.bib

Author: yb6599

docs/JOSS2/paper.bib

@@ -2,22 +2,17 @@ @article{klishin2023data
   title={Data-induced interactions of sparse sensors},
   author={Klishin, Andrei A and Kutz, J Nathan and Manohar, Krithika},
   journal={arXiv preprint arXiv:2307.11838},
-  year={2023}
+  year={2023},
+  doi={10.48550/arXiv.2307.11838}
 }
 
 @article{karnik2024constrained,
   title={Constrained optimization of sensor placement for nuclear digital twins},
   author={Karnik, Niharika and Abdo, Mohammad G and Estrada-Perez, Carlos E and Yoo, Jun Soo and Cogliati, Joshua J and Skifton, Richard S and Calderoni, Pattrick and Brunton, Steven L and Manohar, Krithika},
   journal={IEEE Sensors Journal},
   year={2024},
-  publisher={IEEE}
-}
-
-@article{klishin2025doubledescent,
-  title={Origins and mitigation of double descent in reduced order modeling},
-  author={Klishin, Andrei A and Otto, Samuel E and Kutz, J Nathan and Manohar, Krithika},
-  journal={In preparation},
-  year={2025}
+  publisher={IEEE},
+  doi={10.1109/JSEN.2024.3368875}
 }
 
 @article{erichson2020shallow,
@@ -28,7 +23,8 @@ @article{erichson2020shallow
   number={2238},
   pages={20200097},
   year={2020},
-  publisher={The Royal Society Publishing}
+  publisher={The Royal Society Publishing},
+  doi={10.1098/rspa.2020.0097}
 }
 
 @article{manohar2018predicting,
@@ -38,7 +34,8 @@ @article{manohar2018predicting
   volume={48},
   pages={87--95},
   year={2018},
-  publisher={Elsevier}
+  publisher={Elsevier},
+  doi={10.1016/j.jmsy.2018.01.011}
 }
 
 @article{alonso2010novel,
@@ -49,7 +46,8 @@ @article{alonso2010novel
   number={12},
   pages={4285--4295},
   year={2010},
-  publisher={IEEE}
+  publisher={IEEE},
+  doi={10.1109/TGRS.2010.2051231}
 }
 
 @article{krause2008near,
@@ -58,18 +56,8 @@ @article{krause2008near
   journal={Journal of Machine Learning Research},
   volume={9},
   number={2},
-  year={2008}
-}
-
-@article{alexanderian2021optimal,
-  title={Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: A review},
-  author={Alexanderian, Alen},
-  journal={Inverse Problems},
-  volume={37},
-  number={4},
-  pages={043001},
-  year={2021},
-  publisher={IOP Publishing}
+  year={2008},
+  doi={10.5555/1390681.1390689}
 }
 
 @article{donoho2006compressed,
@@ -80,36 +68,21 @@ @article{donoho2006compressed
   number={4},
   pages={1289--1306},
   year={2006},
-  publisher={IEEE}
-}
-
-@article{summers2015submodularity,
-  title={On submodularity and controllability in complex dynamical networks},
-  author={Summers, Tyler H and Cortesi, Fabrizio L and Lygeros, John},
-  journal={IEEE Transactions on Control of Network Systems},
-  volume={3},
-  number={1},
-  pages={91--101},
-  year={2015},
-  publisher={IEEE}
-}
-
-@article{joshi2008sensor,
-  title={Sensor selection via convex optimization},
-  author={Joshi, Siddharth and Boyd, Stephen},
-  journal={IEEE Transactions on Signal Processing},
-  volume={57},
-  number={2},
-  pages={451--462},
-  year={2008},
-  publisher={IEEE}
+  publisher={IEEE},
+  doi={10.1109/TIT.2006.871582}
 }
 
 @article{de2021pysensors,
-  title={PySensors: A Python package for sparse sensor placement},
-  author={de Silva, Brian M and Manohar, Krithika and Clark, Emily and Brunton, Bingni W and Brunton, Steven L and Kutz, J Nathan},
-  journal={arXiv preprint arXiv:2102.13476},
-  year={2021}
+url={https://doi.org/10.21105/joss.02828},
+year={2021},
+publisher={The Open Journal},
+volume={6},
+number={58},
+pages={2828},
+author={de Silva, Brian M. and Manohar, Krithika and Clark, Emily and Brunton, Bingni W. and Kutz, J. Nathan and Brunton, Steven L.},
+title={PySensors: A Python package for sparse sensor placement},
+journal={Journal of Open Source Software},
+doi={10.21105/joss.02828}
 }
 
 @article{brunton2016sparse,
@@ -120,7 +93,8 @@ @article{brunton2016sparse
   number={5},
   pages={2099--2122},
   year={2016},
-  publisher={SIAM}
+  publisher={SIAM},
+  doi={10.1137/15M1036713}
 }
 
 @article{clark2020multi,
@@ -131,79 +105,8 @@ @article{clark2020multi
   number={1},
   pages={600--611},
   year={2020},
-  publisher={IEEE}
-}
-
-@article{klishin2023data,
-  title={Data-induced interactions of sparse sensors},
-  author={Klishin, Andrei A and Kutz, J Nathan and Manohar, Krithika},
-  journal={arXiv preprint arXiv:2307.11838},
-  year={2023}
-}
-
-@article{baraniuk2010model,
-  title={Model-based compressive sensing},
-  author={Baraniuk, Richard G and Cevher, Volkan and Duarte, Marco F and Hegde, Chinmay},
-  journal={IEEE Transactions on information theory},
-  volume={56},
-  number={4},
-  pages={1982--2001},
-  year={2010},
-  publisher={IEEE}
-}
-
-@article{candes2006stable,
-  title={Stable signal recovery from incomplete and inaccurate measurements},
-  author={Candes, Emmanuel J and Romberg, Justin K and Tao, Terence},
-  journal={Communications on Pure and Applied Mathematics: A Journal Issued by the Courant Institute of Mathematical Sciences},
-  volume={59},
-  number={8},
-  pages={1207--1223},
-  year={2006},
-  publisher={Wiley Online Library}
-}
-
-@article{schmid2010dynamic,
-  title={Dynamic mode decomposition of numerical and experimental data},
-  author={Schmid, Peter J},
-  journal={Journal of fluid mechanics},
-  volume={656},
-  pages={5--28},
-  year={2010},
-  publisher={Cambridge University Press}
-}
-
-@article{barrault2004empirical,
-  title={An ‘empirical interpolation’method: application to efficient reduced-basis discretization of partial differential equations},
-  author={Barrault, Maxime and Maday, Yvon and Nguyen, Ngoc Cuong and Patera, Anthony T},
-  journal={Comptes Rendus Mathematique},
-  volume={339},
-  number={9},
-  pages={667--672},
-  year={2004},
-  publisher={Elsevier}
-}
-
-@article{chaturantabut2010nonlinear,
-  title={Nonlinear model reduction via discrete empirical interpolation},
-  author={Chaturantabut, Saifon and Sorensen, Danny C},
-  journal={SIAM Journal on Scientific Computing},
-  volume={32},
-  number={5},
-  pages={2737--2764},
-  year={2010},
-  publisher={SIAM}
-}
-
-@article{drmac2016new,
-  title={A new selection operator for the discrete empirical interpolation method---improved a priori error bound and extensions},
-  author={Drmac, Zlatko and Gugercin, Serkan},
-  journal={SIAM Journal on Scientific Computing},
-  volume={38},
-  number={2},
-  pages={A631--A648},
-  year={2016},
-  publisher={SIAM}
+  publisher={IEEE},
+  doi={10.1109/JSEN.2020.3013094}
 }
 
 @article{manohar2018data,
@@ -214,16 +117,38 @@ @article{manohar2018data
   number={3},
   pages={63--86},
   year={2018},
-  publisher={IEEE}
+  publisher={IEEE},
+  doi={10.1109/MCS.2018.2810460}
 }
 
-@article{manohar2021optimal,
-  title={Optimal sensor and actuator selection using balanced model reduction},
-  author={Manohar, Krithika and Kutz, J Nathan and Brunton, Steven L},
-  journal={IEEE Transactions on Automatic Control},
-  volume={67},
-  number={4},
-  pages={2108--2115},
-  year={2021},
-  publisher={IEEE}
+@article{klise2017sensor,
+  title={Sensor placement optimization using Chama},
+  author={Klise, Katherine A and Nicholson, Bethany and Laird, Carl D},
+  journal={Number SAND2017-11472. Albuquerque, NM: Sandia National Laboratories},
+  year={2017},
+  doi={10.2172/1405271},
 }
+
+@inproceedings{narayanan2020toolkit,
+  title={A toolkit for spatial interpolation and sensor placement},
+  author={Narayanan, S Deepak and Patel, Zeel B and Agnihotri, Apoorv and Batra, Nipun},
+  booktitle={Proceedings of the 18th Conference on Embedded Networked Sensor Systems},
+  pages={653--654},
+  year={2020},
+  doi={10.1145/3384419.3430407},
+}
+
+@article{yi2011optimal,
+author = {Yi, Ting-Hua and Li, Hong-Nan and Gu, Ming},
+title = {Optimal sensor placement for structural health monitoring based on multiple optimization strategies},
+journal = {The Structural Design of Tall and Special Buildings},
+volume = {20},
+number = {7},
+pages = {881-900},
+keywords = {structural health monitoring (SHM), optimal sensor placement (OSP), modal assurance criterion (MAC), matlab toolbox, Guangzhou New TV Tower (GNTVT)},
+doi = {https://doi.org/10.1002/tal.712},
+url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/tal.712},
+eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/tal.712},
+abstract = {SUMMARY Careful selection and placement of sensors are the critical issue in the construction and implementation of an effective structural health monitoring system. A hybrid method termed the optimal sensor placement strategy (OSPS) based on multiple optimization methods is proposed in this paper. The initial sensor placement is firstly obtained by the QR factorization. Then, using the minimization of the off-diagonal elements in the modal assurance criterion matrix as a measure of the utility of a sensor configuration, the quantity of the sensors is determined by the forward and backward sequential sensor placement algorithm together. Finally, the locations of the sensor are determined by the dual-structure coding-based generalized genetic algorithm (GGA). Taking the scientific calculation software matlab (MathWorks, Natick, MA, USA) as a platform, an OSPS toolbox, which is working as a black box, is developed based on the command-line compiling and graphical user interface-aided graphical interface design. The characteristic and operation method of the toolbox are introduced in detail, and the scheme selection of the OSP is carried out on the world's tallest TV tower (Guangzhou New TV Tower) based on the developed toolbox. The results indicate that the proposed method is effective and the software package has a friendly interface, plenty of functions, good expansibility and is easy to operate, which can be easily applied in practical engineering. Copyright © 2011 John Wiley \& Sons, Ltd.},
+year = {2011}
+}