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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Manchester : B - Electrical and Electronic Engineering

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Output 121 of 179 in the submission

Article title

Optimal probability density function control for NARMAX stochastic systems

Type

D - Journal article

DOI

10.1016/j.automatica.2007.11.028

Title of journal

Automatica

Article number

Volume number

Issue number

First page of article

1904

ISSN of journal

0005-1098

Year of publication

2008

URL

Number of additional authors

Additional information

This paper, published in a leading control theory and application journal, presents a new unified theoretical framework for controlling the probability density function (pdf) of nonlinear stochastic systems. It also provides a new design tool for general modelling, data reduction and filtering for non-Gaussian systems. This work has been developed by several research groups in China in modelling and control design for stochastic systems (DOI:10.1016/j.probengmech.2012.03.002) and the optimization of a mineral processing plant DOI:10.1016/j.mineng.2011.09.012) and in Turkey in pdf estimation (DOI: 10.1142/S0218127412501076).

Interdisciplinary

Cross-referral requested

Research group

8 - Control Systems

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract