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Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules.

, , , and . AAAI, page 588-595. AAAI Press, (2018)

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A Contraction Theory Approach to Stochastic Incremental Stability., , and . IEEE Trans. Autom. Control., 54 (4): 816-820 (2009)Avoiding Dense and Dynamic Obstacles in Enclosed Spaces: Application to Moving in Crowds., , and . IEEE Trans. Robotics, 38 (5): 3113-3132 (2022)Stable Adaptive Control of Robot Manipulators Using "Neural" Networks., and . Neural Comput., 7 (4): 753-790 (1995)Fast Algorithms for Near-Minimum-Time Control of Robot Manipulators., and . Int. J. Robotics Res., 13 (6): 521-532 (1994)Analytical SLAM without linearization., , and . Int. J. Robotics Res., 36 (13-14): 1554-1578 (2017)Inverse Stability Problem and Applications to Renewables Integration., , , , and . IEEE Control. Syst. Lett., 2 (1): 133-138 (2018)A contraction theory-based analysis of the stability of the Extended Kalman Filter, and . CoRR, (2012)Inverse Stability Certificate and Applications to Emergency Control of Power Systems., , , , and . CoRR, (2017)Robust feedback motion planning via contraction theory., , , , and . Int. J. Robotics Res., 42 (9): 655-688 (August 2023)Learning stabilizable nonlinear dynamics with contraction-based regularization., , , , and . Int. J. Robotics Res., (2021)