Robust learning and control of linear dynamical systems
We consider the linear quadratic regulation problem when the plant is an unknown linear dynamical system. We present robust model-based methods based on convex optimization, which minimize the worst-case cost with respect to uncertainty around model estimates. To quantify uncertainty, we derive a me...
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| Format: | Others |
| Language: | English |
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KTH, Reglerteknik
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280121 http://nbn-resolving.de/urn:isbn:978-91-7873-628-7 |