TY - JOUR
T1 - Linearized controller design for the output probability density functions of non-Gaussian stochastic systems
AU - Kabore, P.
AU - Baki, H.
AU - Yue, H.
AU - Wang, H.
PY - 2005/7
Y1 - 2005/7
N2 - This paper presents a linearized approach for the controller design of the shape of output probability density functions for general stochastic systems. A square root approximation to an output probability density function is realized by a set of B-spline functions. This generally produces a nonlinear state space model for the weights of the B-spline approximation. A linearized model is therefore obtained and embedded into a performance function that measures the tracking error of the output probability density function with respect to a given distribution. By using this performance function as a Lyapunov function for the closed loop system, a feedback control input has been obtained which guarantees closed loop stability and realizes perfect tracking. The algorithm described in this paper has been tested on a simulated example and desired results have been achieved.
AB - This paper presents a linearized approach for the controller design of the shape of output probability density functions for general stochastic systems. A square root approximation to an output probability density function is realized by a set of B-spline functions. This generally produces a nonlinear state space model for the weights of the B-spline approximation. A linearized model is therefore obtained and embedded into a performance function that measures the tracking error of the output probability density function with respect to a given distribution. By using this performance function as a Lyapunov function for the closed loop system, a feedback control input has been obtained which guarantees closed loop stability and realizes perfect tracking. The algorithm described in this paper has been tested on a simulated example and desired results have been achieved.
KW - probability density function
KW - lyapunov stability theory
KW - B-splines neural networks
KW - dynamic stochastic systems
UR - http://scholar.ilib.cn/A-gjzdhyjszz-e200501011.html
UR - http://link.springer.com/article/10.1007/s11633-005-0067-4
U2 - 10.1007/s11633-005-0067-4
DO - 10.1007/s11633-005-0067-4
M3 - Article
VL - 2
SP - 67
EP - 74
JO - International Journal of Automation and Computing
JF - International Journal of Automation and Computing
SN - 1476-8186
IS - 1
ER -