Data-driven power control for state estimation: A Bayesian inference approach
J. Wu, Y. Li, D.E. Quevedo, V. Lau, L. Shi, AUTO 54 (2015) 332–339.
Download
No fulltext has been uploaded.
Journal Article
| English
Author
Wu, J.;
Li, Y.;
Quevedo, D. E.;
Lau, V.;
Shi, L.
Department
Publishing Year
Journal Title
AUTO
Volume
54
Issue
4
Page
332–339
LibreCat-ID
Cite this
Wu J, Li Y, Quevedo DE, Lau V, Shi L. Data-driven power control for state estimation: A Bayesian inference approach. AUTO. 2015;54(4):332–339.
Wu, J., Li, Y., Quevedo, D. E., Lau, V., & Shi, L. (2015). Data-driven power control for state estimation: A Bayesian inference approach. AUTO, 54(4), 332–339.
@article{Wu_Li_Quevedo_Lau_Shi_2015, title={Data-driven power control for state estimation: A Bayesian inference approach}, volume={54}, number={4}, journal={AUTO}, author={Wu, J. and Li, Y. and Quevedo, D. E. and Lau, V. and Shi, L.}, year={2015}, pages={332–339} }
Wu, J., Y. Li, D. E. Quevedo, V. Lau, and L. Shi. “Data-Driven Power Control for State Estimation: A Bayesian Inference Approach.” AUTO 54, no. 4 (2015): 332–339.
J. Wu, Y. Li, D. E. Quevedo, V. Lau, and L. Shi, “Data-driven power control for state estimation: A Bayesian inference approach,” AUTO, vol. 54, no. 4, pp. 332–339, 2015.
Wu, J., et al. “Data-Driven Power Control for State Estimation: A Bayesian Inference Approach.” AUTO, vol. 54, no. 4, 2015, pp. 332–339.
Google Scholar