Publications of K. D. Smith

Thesis

1. K. D. Smith. Control and Estimation in Network Systems. PhD thesis, Electrical and Computer Engineering Department, University of California at Santa Barbara, December 2022. Keyword(s): Contraction Theory, Network Systems, Power Networks. [bibtex-entry]

Articles in journal or book chapters

1. G. De Pasquale, K. D. Smith, F. Bullo, and M. E. Valcher. Dual Seminorms, Ergodic Coefficients, and Semicontraction Theory. IEEE Transactions on Automatic Control, 69(5):3040-3053, 2024. Keyword(s): Contraction Theory. [bibtex-entry]
2. K. D. Smith and F. Bullo. Contractivity of the Method of Successive Approximations for Optimal Control. IEEE Control Systems Letters, 7:919-924, 2023. Keyword(s): Contraction Theory. [bibtex-entry]
3. K. D. Smith and F. Bullo. Convex Optimization of the Basic Reproduction Number. IEEE Transactions on Automatic Control, 68(7):4398-4404, 2023. [bibtex-entry]
4. S. Jafarpour, E. Y. Huang, K. D. Smith, and F. Bullo. Flow and Elastic Networks on the $n$-Torus: Geometry, Analysis and Computation. SIAM Review, 64(1):59-104, 2022. [bibtex-entry]
5. K. D. Smith, S. Jafarpour, and F. Bullo. Transient Stability of Droop-Controlled Inverter Networks with Operating Constraints. IEEE Transactions on Automatic Control, 67(2):633-645, 2022. [bibtex-entry]
6. K. D. Smith, S. Jafarpour, A. Swami, and F. Bullo. Topology Inference with Multivariate Cumulants: The Möbius Inference Algorithm. IEEE/ACM Transactions on Networking, 30(5):2102-2116, 2022. [bibtex-entry]

Conference articles

1. K. D. Smith, F. Seccamonte, A. Swami, and F. Bullo. Physics-Informed Implicit Representations of Equilibrium Network Flows. In Advances in Neural Information Processing Systems, November 2022. Keyword(s): Contraction Theory. [bibtex-entry]

Miscellaneous

1. G. De Pasquale, K. D. Smith, F. Bullo, and M. E. Valcher. Dual Seminorms, Ergodic Coefficients, and Semicontraction Theory, 2022. Note: Available at http://arxiv.org/abs/2201.03103. Keyword(s): Contraction Theory. [bibtex-entry]
2. K. D. Smith. High-Order Tomography, 2022. [bibtex-entry]
3. K. D. Smith. A Tutorial on Multivariate $k$-Statistics and their Computation, 2020. [bibtex-entry]
4. K. D. Smith. PyMoments: A Python toolkit for unbiased estimation of multivariate statistical moments, 2020. [bibtex-entry]