![]() | Up a level |
This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Bobtsov, A., Ortega, R., Yi, B., & Nikolaev, N. (2022). Adaptive state estimation of state-affine systems with unknown time-varying parameters. International Journal of Control, 95(9), 2460-2472. External link
Bobtsov, A., Yi, B., Ortega, R., & Astolfi, A. (2022). Generation of New Exciting Regressors for Consistent Online Estimation of Unknown Constant Parameters. IEEE Transactions on Automatic Control, 67(9), 4746-4753. External link
Ortega, R., Yi, B., Bobtsov, A., Pyrkin, A. A., & Sinetova, M. (2025). Adaptive state observers for a class of nonlinear systems: The non-triangular and non-state-affine case. Systems & Control Letters, 196, 106020 (7 pages). External link
Ortega, R., Yi, B., Vukosavić, S., Nam, K., & Choi, J. (2021). A globally exponentially stable position observer for interior permanent magnet synchronous motors. Automatica, 125, 10-10. External link
Ortega, R., Yi, B., Romero, J. G., & Astolfi, A. (2020). Orbital stabilization of nonlinear systems via the immersion and invariance technique. International Journal of Robust and Nonlinear Control, 30(5), 1850-1871. External link
Ortega, R., Yi, B., & Romero, J. G. (2020). Robustification of nonlinear control systems vis-à-vis actuator dynamics: An immersion and invariance approach. Systems & Control Letters, 146, 9-9. External link
Wang, L., Ortega, R., Bobtsov, A., Romero, J. G., & Yi, B. (2023). Identifiability implies robust, globally exponentially convergent on-line parameter estimation. International Journal of Control, 17 pages. External link
Yi, B., Ortega, R., Choi, J.-W., & Nam, K. (2025). A high performance globally exponentially convergent sensorless observer for the IPMSM: Theoretical and experimental results. Automatica, 174, 112138-112138. External link
Yi, B., & Ortega, R. (2023). Conditions for Convergence of Dynamic Regressor Extension and Mixing Parameter Estimators Using LTI Filters. IEEE Transactions on Automatic Control, 68(2), 1253-1258. External link
Yi, B., Ortega, R., Choi, J., & Nam, K. (2023, July). A Novel Globally Exponentially Stable Observer for Sensorless Control of the IPMSM via Kreisselmeier's Extension [Paper]. 22nd IFAC World Congress, Yokohama, Japan. External link
Yi, B., Vukosavić, S. N., Ortega, R., Stanković, A. M., & Zhang, W. (2020). A new signal injection-based method for estimation of position in interior permanent magnet synchronous motors. IET Power Electronics, 13(9), 1865-1874. External link
Yi, B., Ortega, R., Siguerdidjane, H., Machado, J. E., & Zhang, W. (2020). On generation of virtual outputs via signal injection: Application to observer design for electromechanical systems. European Journal of Control, 54, 129-139. External link
Yi, B., Ortega, R., Wu, D., & Zhang, W. (2020). Orbital stabilization of nonlinear systems via Mexican sombrero energy shaping and pumping-and-damping injection. Automatica, 112, 108661-108661. External link
Yi, B., Ortega, R., Manchester, I. R., & Siguerdidjane, H. (2020). Path following of a class of underactuated mechanical systems via immersion and invariance-based orbital stabilization. International Journal of Robust and Nonlinear Control, 30(18), 8521-8544. External link
Yi, B., Ortega, R., & Zhang, W. (2020). Smooth, time-invariant regulation of nonholonomic systems via energy pumping-and-damping. International Journal of Robust and Nonlinear Control, 30(16), 6399-6413. External link
Yi, B., Vukosavić, S. N., Ortega, R., Stanković, A. M., & Zhang, W. (2019, August). A Frequency Domain Interpretation of Signal Injection Methods for Salient PMSMs [Paper]. IEEE Conference on Control Technology and Applications (CCTA), Hong Kong, China. External link
Yi, B., Ortega, R., & Zhang, W. (2019, September). Regulation of nonholonomic systems: A smooth, time-invariant approach [Paper]. Joint 8th IFAC Symposium on Mechatronic Systems and 11th IFAC Symposium on Nonlinear Control Systems,, Vienna, Austria. External link
Yi, B., Ortega, R., Wu, D., & Zhang, W. (2019, December). Two Constructive Solutions to Orbital Stabilization of Nonlinear Systems via Passivity-based Control [Paper]. 58th IEEE Conference on Decision and Control (CDC), Nice, France. External link
Yi, B., Ortega, R., Siguerdidjane, H., & Zhang, W. An Adaptive Observer for Sensorless Control of the Levitated Ball Using Signal Injection [Paper]. IEEE Conference on Decision and Control (CDC), Miami, FL, USA. External link
Zonetti, D., Yi, B., Aranovskiy, S., Efimov, D., Ortega, R., & Garcia-Quismondo, E. (2018, December). On Physical Modeling of Lithium-Ion Cells and Adaptive Estimation of their State-of-Charge [Paper]. IEEE Conference on Decision and Control (CDC), Miami, FL, USA. External link