The Uncertainty Aware Salted Kalman Filter: State Estimation for Hybrid Systems with Uncertain Guards-Reference-Cited by-同舟云学术

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The Uncertainty Aware Salted Kalman Filter: State Estimation for Hybrid Systems with Uncertain Guards

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Payne J. Joe¹,Kong Nathan J.¹,Johnson Aaron M.¹

Affiliation:

1. Carnegie Mellon University,Department of Mechanical Engineering,Pittsburgh,PA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981218.pdf?arnumber=9981218

Reference27 articles.

1. Monitoring and diagnosis of hybrid systems using particle filtering methods;koutsoukos;International Symposium on Mathematical Theory of Networks and Systems,0

2. The design of dynamical observers for hybrid systems: Theory and application to an automotive control problem

3. On the stability of periodic motions

4. Pose estimation for planar contact manipulation with manifold particle filters

5. Observer design for some classes of uniformly observable nonlinear hybrid systems

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Saltation Matrices: The Essential Tool for Linearizing Hybrid Dynamical Systems;Proceedings of the IEEE;2024-06

2. Parameter Estimation of Nonsmooth Frictionless Impacts Through a Hybrid Observer;IEEE Transactions on Robotics;2024

3. Robust Bipedal Locomotion: Leveraging Saltation Matrices for Gait Optimization;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

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