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Convex Optimization-based Controller Design for Stochastic Nonlinear Systems using Contraction Analysis.

, and . CDC, page 8196-8203. IEEE, (2019)

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Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization., and . CoRR, (2020)Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach., and . IEEE Control. Syst. Lett., 5 (1): 211-216 (2021)Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach., and . CoRR, (2021)Learning-based Adaptive Control using Contraction Theory., , and . CDC, page 2533-2538. IEEE, (2021)A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability., , , and . CDC, page 2949-2954. IEEE, (2021)Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach., and . CoRR, (2020)CART: Collision Avoidance and Robust Tracking Augmentation in Learning-based Motion Planning for Multi-Agent Systems., , , , and . CoRR, (2023)Safe Motion Planning with Tubes and Contraction Metrics., , , , and . CDC, page 2943-2948. IEEE, (2021)Neural-Rendezvous: Learning-based Robust Guidance and Control to Encounter Interstellar Objects., , , , , and . CoRR, (2022)Learning-based Robust Motion Planning With Guaranteed Stability: A Contraction Theory Approach., and . IEEE Robotics Autom. Lett., 6 (4): 6164-6171 (2021)