Yue, Hong and Wang, Hong (2003) Minimum entropy control of closed loop tracking errors for dynamic stochastic systems. IEEE Transactions on Automatic Control, 48 (1). pp. 118-122. ISSN 0018-9286Full text not available in this repository. (Request a copy from the Strathclyde author)
The entropy has been used to characterize the uncertainty of the tracking error for general nonlinear and non-Gaussian stochastic systems. A recursive optimization solution has been developed and the local stability condition of the closed-loop system has been established. The generality of this algorithm has been proved by the special case study of the minimum variance control for linear Gaussian systems.
|Keywords:||entropy, non-Gaussian, nonlinear, optimization, stochastic, Electrical engineering. Electronics Nuclear engineering, Control and Systems Engineering, Computer Science Applications, 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:||22 Mar 2017 09:36|