Wang, H. and Yue, H. (2003) A rational spline model approximation and control of output probability density functions for dynamic stochastic systems. Transactions of the Institute of Measurement and Control, 25 (2). pp. 93-105.Full text not available in this repository. (Request a copy from the Strathclyde author)
This paper presents a new method to model and control the shape of the output probability density functions for dynamic stochastic systems subjected to arbitrary bounded random input. A new rational model is proposed to approximate the output probability density function of the system. This is then followed by the design of a novel nonlinear controller, which guarantees the monotonic decreasing of the functional norm of the difference between the measured probability density function and its target distribution. This leads to a desired tracking performance for the output probability density function. A simple example is utilized to demonstrate the use of the proposed modelling and control algorithm and encouraging results have been obtained.
|Keywords:||stochastic systems , rational spline model , dynamic stochastic systems, Electrical engineering. Electronics Nuclear engineering, Instrumentation|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||10 Apr 2012 14:32|
|Last modified:||22 Mar 2017 10:13|