![]() | 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.
Fan, F., Yi, B., Rye, D., Shi, G., & Manchester, I. R. (2026). Learning stable Koopman embeddings for identification and control. Automatica, 189, 113003 (12 pages). External link
Fan, F., Yi, B., Rye, D., Shi, G., & Manchester, I. R. (2024). Learning stable Koopman embeddings for identification and control. (Technical Report n° G-2024-63). External link
Fan, F., Yi, B., Rye, D., Shi, G., & Manchester, I. R. (2022, June). Learning Stable Koopman Embeddings [Paper]. American Control Conference (ACC 2022), Atlanta, GA, USA. External link
Wu, D., Yi, B., & Manchester, I. R. (2024, December). Control contraction metrics on submanifolds [Paper]. 63rd IEEE Conference on Decision and Control (CDC 2024), Milan, Italy. External link
Yi, B., Wang, L., & Manchester, I. R. (2024). Attitude Estimation From Vector Measurements: Necessary and Sufficient Conditions and Convergent Observer Design. IEEE Transactions on Automatic Control, 69(1), 511-518. External link
Yi, B., & Manchester, I. R. (2024). On IMU preintegration: A nonlinear observer viewpoint and its applications. Systems & Control Letters, 193, 105933 (10 pages). External link
Yi, B., Jin, C., Wang, L., Shi, G., Ila, V., & Manchester, I. R. (2024). PEBO-SLAM: Observer Design for Visual Inertial SLAM with Convergence Guarantees. IEEE Transactions on Automatic Control, 3466874 (16 pages). External link
Yi, B., & Manchester, I. R. (2023). On the equivalence of contraction and Koopman approaches for nonlinear stability and control. IEEE Transactions on Automatic Control, 69(7), 3319051 (16 pages). External link
Yi, B., Wang, L., & Manchester, I. R. (2023, January). Attitude Estimation from Vector Measurements: Necessary and Sufficient Conditions and Convergent Observer Design [Paper]. 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS), Canberra, Australia. External link
Yi, B., Jin, C., & Manchester, I. R. (2022). Globally convergent visual-feature range estimation with biased inertial measurements. Automatica, 146, 110639-110639. External link
Yi, B., Wang, R., & Manchester, I. R. (2022). Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization. IEEE Transactions on Automatic Control, 67(8), 4045-4060. External link
Yi, B., Jin, C., Wang, L., Shi, G., & Manchester, I. R. (2021, December). An almost globally convergent observer for visual SLAM without persistent excitation [Paper]. 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA. External link
Yi, B., & Manchester, I. R. (2021, December). On the Equivalence of Contraction and Koopman Approaches for Nonlinear Stability and Control [Paper]. 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA. External link
Yi, B., Wang, R., & Manchester, I. R. (2021, May). Reduced-order observers for nonlinear systems via contraction analysis and convex optimization [Paper]. American Control Conference (ACC 2021), New Orleans, LA, USA. External link
Yi, B., Wang, R., & Manchester, I. R. (2020, December). On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis [Paper]. 59th IEEE Conference on Decision and Control (CDC), Jeju, Korea (South). 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