### Abstract

Original language | English |
---|---|

Pages (from-to) | 151-160 |

Number of pages | 10 |

Journal | Acta Automatica Sinica |

Volume | 31 |

Issue number | 1 |

Publication status | Published - Jan 2005 |

### Fingerprint

### Keywords

- singular systems
- dynamic stochastic systems
- probability density function (PDF)
- B-splines neural networks

### Cite this

*Acta Automatica Sinica*,

*31*(1), 151-160.

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*Acta Automatica Sinica*, vol. 31, no. 1, pp. 151-160.

**Stochastic distribution control of singular systems : output PDF shaping.** / Yue, H.; Leprand, A.J.A.; Wang, H.

Research output: Contribution to journal › Article

TY - JOUR

T1 - Stochastic distribution control of singular systems

T2 - output PDF shaping

AU - Yue, H.

AU - Leprand, A.J.A.

AU - Wang, H.

PY - 2005/1

Y1 - 2005/1

N2 - This paper presents a new algorithm designed to control the shape of the output probability density function (PDF) of singular systems subjected to non-Gaussian input. The aim is to select a control input uk such that the output PDF is made as close as possible to a given PDF. Based on the B-spline neural network approximation of the output PDF, the control algorithm is formulated by extending the developed PDF control strategies of non-singular systems to singular systems. It has been shown that under certain conditions the stability of the closed-loop system can be guaranteed. Simulation examples are given to show the effectiveness of the proposed control algorithm

AB - This paper presents a new algorithm designed to control the shape of the output probability density function (PDF) of singular systems subjected to non-Gaussian input. The aim is to select a control input uk such that the output PDF is made as close as possible to a given PDF. Based on the B-spline neural network approximation of the output PDF, the control algorithm is formulated by extending the developed PDF control strategies of non-singular systems to singular systems. It has been shown that under certain conditions the stability of the closed-loop system can be guaranteed. Simulation examples are given to show the effectiveness of the proposed control algorithm

KW - singular systems

KW - dynamic stochastic systems

KW - probability density function (PDF)

KW - B-splines neural networks

M3 - Article

VL - 31

SP - 151

EP - 160

JO - Acta Automatica Sinica

JF - Acta Automatica Sinica

SN - 1874-1029

IS - 1

ER -