TY - JOUR
T1 - Enhanced feedback robustness against communication channel multiplicative uncertainties via scaled dithers
AU - Xu, Lijian
AU - Wang, Le Yi
AU - Yin, George
AU - Zheng, Wei Xing
PY - 2014
Y1 - 2014
N2 - In this paper, a new method is introduced to enhance feedback robustness against communication gain uncertainties. The method employs a fundamental property in stochastic differential equations to add a scaled stochastic dither under which tolerable gain uncertainties can be much enlarged, beyond the traditional deterministic optimal gain margin. Algorithms, stability, convergence, and robustness are presented for first-order systems. Extension to higher-dimensional systems is further discussed. Simulation results are used to illustrate the merits of this methodology.
AB - In this paper, a new method is introduced to enhance feedback robustness against communication gain uncertainties. The method employs a fundamental property in stochastic differential equations to add a scaled stochastic dither under which tolerable gain uncertainties can be much enlarged, beyond the traditional deterministic optimal gain margin. Algorithms, stability, convergence, and robustness are presented for first-order systems. Extension to higher-dimensional systems is further discussed. Simulation results are used to illustrate the merits of this methodology.
UR - http://handle.uws.edu.au:8081/1959.7/545771
U2 - 10.1016/j.sysconle.2014.03.001
DO - 10.1016/j.sysconle.2014.03.001
M3 - Article
SN - 0167-6911
VL - 68
SP - 25
EP - 32
JO - Systems and Control Letters
JF - Systems and Control Letters
IS - 1
ER -