Artículos de revistas
Gradient-based optimization techniques for the design of static controllers for Markov jump linear systems with unobservable modes
Fecha
2015-05Registro en:
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields,Malden, Ma : John Wiley and Sons, v.28, n.3, p.239-253, maio/jun 2015
0894-3370
10.1002/rnc.3393
Autor
Vargas, Alessandro N.
Bortolin, Daiane Cristina
Costa, Eduardo Fontoura
Val, João B. R. do
Institución
Resumen
The paper formulates the static control problem of Markov jump linear systems, assuming that the controller
does not have access to the jump variable. We derive the expression of the gradient for the cost motivated by the
evaluation of 10 gradient-based optimization techniques. The numerical efficiency of these techniques is verified
by using the data obtained from practical experiments. The corresponding solution is used to design a scheme
to control the velocity of a real-time DC motor device subject to abrupt power failures.