A probabilistic particle-control approximation of chance-constrained stochastic predictive control
Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation, disturbances, and modeling errors, as well as stochastic mode transitions such as component failures. Chance-constrained c...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2011-09-28T18:48:48Z.
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| Subjects: | |
| Online Access: | Get fulltext |