TY - GEN

T1 - Averaged continuous-time models in identification and control

AU - Fradkov, A.L.

PY - 2014

Y1 - 2014

N2 - In this tutorial paper a brief exposition is made for the research area related to development and justification of the so called method of continuous models (MNM). The essence of the method is in replacement of the analysis or design problem for a discrete stochastic system with a similar problem for its simplified (averaged) continuous-time model. Continuous-time models described by either ordinary differential equations or stochastic differential equations are considered. Relations between MNM and averaging method are demonstrated. Applications to identification and control problems for systems and networks are described.

AB - In this tutorial paper a brief exposition is made for the research area related to development and justification of the so called method of continuous models (MNM). The essence of the method is in replacement of the analysis or design problem for a discrete stochastic system with a similar problem for its simplified (averaged) continuous-time model. Continuous-time models described by either ordinary differential equations or stochastic differential equations are considered. Relations between MNM and averaging method are demonstrated. Applications to identification and control problems for systems and networks are described.

U2 - 10.1109/ECC.2014.6862624

DO - 10.1109/ECC.2014.6862624

M3 - Conference contribution

SN - 9783952426913

SP - 2822

EP - 2826

BT - 2014 European Control Conference, ECC 2014

ER -