A rational spline model approximation and control of output probability density functions for dynamic stochastic systems

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. (https://doi.org/10.1191/0142331203tm076oa)

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Abstract

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.

ORCID iDs

Wang, H. and Yue, H. ORCID logoORCID: https://orcid.org/0000-0003-2072-6223;
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