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Whom to Trust? Elective Learning for Distributed Gaussian Process Regression.

, , , , and . AAMAS, page 2020-2028. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)

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State Estimation and Branch Current Learning Using Independent Local Kalman Filter With Virtual Disturbance Model., , , , and . IEEE Trans. Instrum. Meas., 60 (9): 3026-3034 (2011)Actuator Scheduling for Linear Systems: A Convex Relaxation Approach., , , and . IEEE Control. Syst. Lett., (2023)Diffeomorphically Learning Stable Koopman Operators., , , , , and . IEEE Control. Syst. Lett., (2022)Evolution of social power over influence networks containing antagonistic interactions., , and . Inf. Sci., (2020)Error-dependent data scheduling in resource-aware multi-loop networked control systems., , , and . Autom., (2017)Prediction With Approximated Gaussian Process Dynamical Models., and . IEEE Trans. Autom. Control., 67 (12): 6460-6473 (2022)Risk-Sensitive Optimal Feedback Control for Haptic Assistance., , and . ICRA, page 1025-1031. IEEE, (2012)Human-preference-based control design: Adaptive robot admittance control for physical human-robot interaction., , and . RO-MAN, page 443-448. IEEE, (2012)Learning and generalizing force control policies for sculpting., , and . IROS, page 1493-1498. IEEE, (2012)State estimation and learning of unknown branch current flows using decentralized Kalman filter with virtual disturbance model., , , , and . AMPS, page 31-36. IEEE, (2010)