Dual Control of an Integrator Using Neuro-Dynamic Programming
(1998) In MSc ThesesDepartment of Automatic Control
- Abstract
- The dual control problem for an integrator with time-varying gain is reviewed. The neuro-dynamic programming technique of approximate policy iteration is explained. It is shown how a version of this technique, which employs a Gaussian radial basis function network, can be used to calculate a good sub-optimal dual controller for the integrator. This controller performs much better than the certainty equivalence and the cautious controllers. Finally, extensions to more realistic problems are discussed.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8848550
- author
- Cervin, Anton LU
- supervisor
- organization
- year
- 1998
- type
- H3 - Professional qualifications (4 Years - )
- subject
- publication/series
- MSc Theses
- report number
- TFRT-5598
- ISSN
- 0280-5316
- language
- English
- id
- 8848550
- date added to LUP
- 2016-03-24 17:34:39
- date last changed
- 2016-03-24 17:34:39
@misc{8848550, abstract = {{The dual control problem for an integrator with time-varying gain is reviewed. The neuro-dynamic programming technique of approximate policy iteration is explained. It is shown how a version of this technique, which employs a Gaussian radial basis function network, can be used to calculate a good sub-optimal dual controller for the integrator. This controller performs much better than the certainty equivalence and the cautious controllers. Finally, extensions to more realistic problems are discussed.}}, author = {{Cervin, Anton}}, issn = {{0280-5316}}, language = {{eng}}, note = {{Student Paper}}, series = {{MSc Theses}}, title = {{Dual Control of an Integrator Using Neuro-Dynamic Programming}}, year = {{1998}}, }