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Collaboration networkThis 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.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA 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.
Li, N., Sawan, M., & Wang, L. (2019, November). An efficient adaptive online neural spikes detection and classification engine based on Bayesian inference [Paper]. 6th International Conference on Systems and Informatics (ICSAI 2019), Shanghai, China. External link
Wang, L., Yi, B., & Su, H. (2023, January). An I & I Adaptive Redesign Approach for Asymptotic Stability without PE [Paper]. 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS), Canberra, Australia. 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., 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., 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., 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., Wang, L., & Zhang, W. (2023, January). Online Gyro Bias Estimation from Single Vector Measurements Using Regression Models [Paper]. 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS), Canberra, Australia. 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
