Yue, Hong and Zhou, Jinglin and Wang, Hong (2006) Minimum entropy control of B-spline PDF systems with mean constraint. Automatica, 42 (6). pp. 989-994. ISSN 0005-1098Full text not available in this repository. (Request a copy from the Strathclyde author)
For the B-spline approximation of the continuous probability density function (PDF), the relationships between the B-spline weights and entropy both in general and under the mean constraint have been analyzed. It provides the conditions under which the minimum entropy can be achieved subject to the mean constraint. The difference between the entropy of continuous and discrete distributions has also been clarified. A minimum entropy controller with the mean constraint is then developed and several simulations are performed to verify the main results.
|Keywords:||continuous distribution, probability density function, B-spline, minimum entropy, mean constraint, Electrical engineering. Electronics Nuclear engineering, Control and Systems Engineering, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||16 Jan 2008|
|Last modified:||06 Jan 2017 06:00|