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Exploiting Symmetry for Discrete-Time Reachability Computations.

, and . IEEE Control. Syst. Lett., 2 (2): 213-217 (2018)

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Lagrangian methods for approximating the viability kernel in high-dimensional systems., , , , and . Autom., 49 (7): 2017-2029 (2013)A note on optimal experiment design for nonlinear systems using dynamic programming., and . CoRR, (2015)Optimal experiment design for physiological parameter estimation using hyperpolarized carbon-13 magnetic resonance imaging., , and . ACC, page 5770-5775. IEEE, (2015)Exploiting Symmetry for Discrete-Time Reachability Computations., and . IEEE Control. Syst. Lett., 2 (2): 213-217 (2018)Simulation-Based Reachability Analysis for Nonlinear Systems Using Componentwise Contraction Properties., and . Principles of Modeling, volume 10760 of Lecture Notes in Computer Science, page 61-76. Springer, (2018)Optimal Control for Learning with Applications in Dynamic MRI.. University of California, Berkeley, USA, (2017)base-search.net (ftcdlib:qt23n4844z).Reachability Analysis of Nonlinear Systems Using Matrix Measures., and . IEEE Trans. Automat. Contr., 60 (1): 265-270 (2015)Optimizing Flip Angles for Metabolic Rate Estimation in Hyperpolarized Carbon-13 MRI., , , and . IEEE Trans. Medical Imaging, 35 (11): 2403-2412 (2016)Parallel dynamic programming for optimal experiment design in nonlinear systems., , and . CDC, page 2894-2899. IEEE, (2016)Trajectory-based reachability analysis of switched nonlinear systems using matrix measures., and . CDC, page 6358-6364. IEEE, (2014)