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Systematically manipulating T-cell signaling dynamics via multiple model informed open-loop controller design.

, , , , , and . CDC, page 380-385. IEEE, (2012)

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A Framework for Dynamic Image Sampling Based on Supervised Learning., , , , , and . IEEE Trans. Computational Imaging, 4 (1): 1-16 (2018)A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS)., , , , , and . CoRR, (2017)Embedding Approximate Nonlinear Model Predictive Control at Ultrahigh Speed and Extremely Low Power., , , and . IEEE Trans. Contr. Sys. Techn., 28 (3): 1092-1099 (2020)Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium., , , and . SIAM J. Imaging Sci., 11 (3): 2001-2020 (2018)Robust parameter identification with adaptive sparse grid-based optimization for nonlinear systems biology models., , and . ACC, page 5055-5060. IEEE, (2009)Robust explicit nonlinear model predictive control with integral sliding mode., , , , and . ACC, page 2851-2856. IEEE, (2014)Robust state and unknown input estimation for nonlinear systems characterized by incremental multiplier matrices., , and . ACC, page 3270-3275. IEEE, (2017)Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium., , , and . Allerton, page 1-5. IEEE, (2022)A Supervised Learning Approach for Dynamic Sampling., , , , , and . Computational Imaging, page 1-8. Society for Imaging Science and Technology, (2016)DYNAMIC DH-MBIR FOR PHASE-ERROR ESTIMATION FROM STREAMING DIGITAL-HOLOGRAPHY DATA., , , , and . ACSSC, page 784-788. IEEE, (2023)