Chance Constrained Finite Horizon Optimal Control

This paper considers finite-horizon optimal control for dynamic systems subject to additive Gaussian-distributed stochastic disturbance and a chance constraint on the system state defined on a non-convex feasible space. The chance constraint requires that the probability of constraint violation is b...

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Bibliographic Details
Main Authors: Ono, Masahiro, Williams, Brian Charles, Blackmore, Lars
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: American Automatic Control Council 2011
Online Access:http://hdl.handle.net/1721.1/67480
https://orcid.org/0000-0002-1057-3940