de Villiers, JP and Godsill, SJ and Singh, SS (2008) Monte Carlo approaches to nonlinear optimal control. Technical Report. Cambridge University Engineering Department, Cambridge, UK.
Full text not available from this repository.Abstract
This paper explores the use of Monte Carlo techniques in deterministic nonlinear optimal control. Inter-dimensional population Markov Chain Monte Carlo (MCMC) techniques are proposed to solve the nonlinear optimal control problem. The linear quadratic and Acrobot problems are studied to demonstrate the successful application of the relevant techniques.
| Item Type: | Monograph (Technical Report) |
|---|---|
| Additional Information: | Contact email address = sss40@cam.ac.uk Report no. CUED/F-INFENG/TR-603, series ISSN: 09519211. |
| Subjects: | UNSPECIFIED |
| Divisions: | Div F > Signal Processing and Communications |
| Depositing User: | Cron Job |
| Date Deposited: | 28 Oct 2011 17:05 |
| Last Modified: | 22 Oct 2012 01:12 |
| DOI: |
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