Journals

• S. Shanbhag and D. E. Chang, "Angular velocity and linear acceleration measurement bias estimators for the rigid body system with global exponential convergence," in International Journal of Robust and Nonlinear Control, 1-8, 2025. 🗋
• S. Shanbhag, and D. E. Chang, "Machine Learning Based State Observer for Discrete Time Systems Evolving on Lie Groups." in Engineering Applications of Artificial Intelligence, vol. 139, 109576, 2025. 🗋
• S. Shanbhag and D. E. Chang, "Globally exponentially convergent observer for systems evolving on matrix Lie groups". in Mathematics and Computers in Simulation, vol. 232, pp. 475 — 482, 2025. 🗋
• S. Shanbhag and D. E. Chang, "Globally Convergent Observer for the Rigid Body System on SE(3) in Presence of Intermittent Measurements," in IEEE Access, vol. 10, pp. 103462 — 103468, 2022. 🗋

Conferences

• S. Shanbhag and D. E. Chang, "Globally exponentially convergent observer for the rigid body system on SE(3)," Proc. 61st IEEE Conference on Decision and Control (CDC), Cancun, Mexico, 2022. 🗋
• J. H. Park, S. Shanbhag and D. E. Chang, "Model-free unsupervised anomaly detection of a general robotic system using a stacked LSTM and its application to a fixed-wing unmanned aerial vehicle," 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022. 🗋
• S. Shanbhag and D. E. Chang, "Real time pose detection of animals using HRNet," Proc. 2021 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Gangwon, Korea, 2021. 🗋

Under Review

• S. Shanbhag and D. E. Chang, "Transversally exponentially stable Euclidean space extension technique for discrete time systems". 🗋