An algorithm for cooperative probabilistic control design
| dc.contributor.author | Barão, Miguel | |
| dc.date.accessioned | 2013-01-30T16:47:45Z | |
| dc.date.available | 2013-01-30T16:47:45Z | |
| dc.date.issued | 2012-07 | |
| dc.description.abstract | This paper deals with the decentralized closed loop control in a pure probabilistic framework. In this framework, a system is a controlled Markov chain whose transition probabilities depend on the actions of the agents. The agents are also described in a probabilistic way. The objective is to drive the system so that the joint state and agents actions are close to a set of given target probability distributions. The Kullback-Leibler divergence is used as a performance measure. The resulting algorithm uses dynamic programming interleaved with an iterative process that computes the behavior of each agent. | por |
| dc.identifier.authoremail | mjsb@uevora.pt | |
| dc.identifier.citation | M. Barão, "An algorithm for cooperative probabilistic control design", in proceedings of 20th Mediterranean Conference on Control and Automation, pp. 1161-1164, Barcelona, Spain, July, 2012. | por |
| dc.identifier.doi | 10.1109/MED.2012.6265795 | |
| dc.identifier.scientificarea | 493 | por |
| dc.identifier.uri | http://hdl.handle.net/10174/8089 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.rights | openAccess | por |
| dc.title | An algorithm for cooperative probabilistic control design | por |
| dc.type | article | por |