RT Journal Article
A1 Shanshan Bi
AD Electrical and Computer Engineering Department, Missouri University of Science and Technology, Emerson Electric Co. Hall, 301 W. 16th Street, Rolla, MO 65409-0040, USA
A1 Maciej Zawodniok
AD Electrical and Computer Engineering Department, Missouri University of Science and Technology, Emerson Electric Co. Hall, 301 W. 16th Street, Rolla, MO 65409-0040, USA

PB iet
T1 PDF-based tuning of stochastic optimal controller design for cyber-physical systems with uncertain delay dynamics
JN IET Cyber-Physical Systems: Theory & Applications
VO 2
IS 1
SP 1
OP 9
AB Uncertain dynamics in communication network, including random delays and packet losses make it difficult to guarantee stability of cyber-physical systems (CPSs). Many existing works consider the uncertainties of network channel with strong assumptions that network delay bounds and its distribution are known a priori and time-invariant. However, these assumptions could be invalidated in realistic CPSs by malicious attacks, system hardware faults, topology changes etc. A probability density function (PDF)-based tuning of stochastic optimal control (PTSOC) is proposed to manage the unknown dynamics in the embedded network. The update law of the proposed controller is derived and updated based on the PDF estimation of network delays that explicitly consider delays and its time-varying distribution. The results illustrate that the proposed PTSOC has a better performance in terms of the overshoot, convergence time, and cost when compared with the conventional stochastic optimal control.
K1 cyber-physical systems
K1 stochastic optimal controller design
K1 embedded network
K1 communication network
K1 convergence time
K1 network delays
K1 time-varying distribution
K1 probability density function based tuning
K1 PDF estimation
K1 malicious attacks
K1 random delays
K1 PDF-based tuning
K1 CPS
K1 PTSOC
K1 uncertain delay dynamics
K1 system hardware faults
K1 network channel uncertainties
K1 packet losses
K1 network delay bounds
DO https://doi.org/10.1049/iet-cps.2016.0012
UL https://digital-library.theiet.org/;jsessionid=25w8i4ub8qmji.x-iet-live-01content/journals/10.1049/iet-cps.2016.0012
LA English
SN
YR 2017
OL EN