TY  - GEN
N2  - This brief broadens readers' understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS. Particularly, it offers novel insights into the control of systems when the controller does not have access to the Markovian mode.
AB  - This brief broadens readers' understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS. Particularly, it offers novel insights into the control of systems when the controller does not have access to the Markovian mode.
T1  - Advances in the control of Markov jump linear systems with no mode observation
AU  - Vargas, Alessandro N.,
AU  - Costa, Eduardo F.,
AU  - Val, João B. R. do,
CN  - QA402.3
ID  - 755644
KW  - Control theory.
KW  - Markov processes.
SN  - 9783319398358
SN  - 3319398350
TI  - Advances in the control of Markov jump linear systems with no mode observation
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-39835-8
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-39835-8
ER  -