TY - GEN
T1 - Statistic tracking control
T2 - 3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks
AU - Guo, Lei
PY - 2006
Y1 - 2006
N2 - This paper addresses a new type of control framework for dynamical stochastic systems, which is called statistic tracking control here. General non-Gaussian systems are considered and the tracked objective is the statistic information (including the moments and the entropy) of a given target probability density function (PDF), rather than a deterministic signal. The control is aiming at making the statistic information of the output PDFs to follow those of a target PDF. The B-spline neural network with modelling error is applied to approximate the corresponding dynamic functional. For the nonlinear weighting system with time delays in the presence of exogenous disturbances, the generalized H2 and H∞ optimization technique is then used to guarantee the tracking, robustness and transient performance simultaneously in terms of LMI formulations.
AB - This paper addresses a new type of control framework for dynamical stochastic systems, which is called statistic tracking control here. General non-Gaussian systems are considered and the tracked objective is the statistic information (including the moments and the entropy) of a given target probability density function (PDF), rather than a deterministic signal. The control is aiming at making the statistic information of the output PDFs to follow those of a target PDF. The B-spline neural network with modelling error is applied to approximate the corresponding dynamic functional. For the nonlinear weighting system with time delays in the presence of exogenous disturbances, the generalized H2 and H∞ optimization technique is then used to guarantee the tracking, robustness and transient performance simultaneously in terms of LMI formulations.
UR - https://www.scopus.com/pages/publications/33745909897
U2 - 10.1007/11760023_142
DO - 10.1007/11760023_142
M3 - 会议稿件
AN - SCOPUS:33745909897
SN - 3540344373
SN - 9783540344377
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 962
EP - 967
BT - Advances in Neural Networks - ISNN 2006
PB - Springer Verlag
Y2 - 28 May 2006 through 1 June 2006
ER -