Abstract
| Language | English |
|---|---|
| Title of host publication | Advances in Neural Networks |
| Subtitle of host publication | ISNN 2006 |
| Place of Publication | Berlin |
| Publisher | Springer |
| Pages | 676-682 |
| Number of pages | 7 |
| Volume | 3 |
| ISBN (Print) | 978-3-540-34439-1 |
| DOIs | |
| Publication status | Published - 17 May 2006 |
| Event | International Symposium on Neural Networks 2006 - Chengdu, China Duration: 28 May 2006 → 1 Jun 2006 |
Publication series
| Name | Lecture Notes in computer Science |
|---|---|
| Publisher | Springer |
| Volume | 3971 |
Conference
| Conference | International Symposium on Neural Networks 2006 |
|---|---|
| Country | China |
| City | Chengdu |
| Period | 28/05/06 → 1/06/06 |
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Keywords
- singular systems
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Output PDF shaping of singular systems : monotonically decreasing performance design. / Yue, H.; Leprand, Aurelie J.A.; Wang, Hong.
Advances in Neural Networks: ISNN 2006. Vol. 3 Berlin : Springer, 2006. p. 676-682 (Lecture Notes in computer Science; Vol. 3971).Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - Output PDF shaping of singular systems
T2 - monotonically decreasing performance design
AU - Yue, H.
AU - Leprand, Aurelie J.A.
AU - Wang, Hong
PY - 2006/5/17
Y1 - 2006/5/17
N2 - For a group of stochastic systems whose output probability density function (PDF) is modelled by the B-spline neural networks with singular weights dynamics, the output PDF is controlled towards the desired PDF by an innovative optimization design with monotonically decreasing performance. The controller is developed based on the transformed equivalent non-singular system with sufficient conditions given for the monotonic performance.
AB - For a group of stochastic systems whose output probability density function (PDF) is modelled by the B-spline neural networks with singular weights dynamics, the output PDF is controlled towards the desired PDF by an innovative optimization design with monotonically decreasing performance. The controller is developed based on the transformed equivalent non-singular system with sufficient conditions given for the monotonic performance.
KW - pdf
KW - singular systems
U2 - 10.1007/11759966_99
DO - 10.1007/11759966_99
M3 - Chapter
SN - 978-3-540-34439-1
VL - 3
T3 - Lecture Notes in computer Science
SP - 676
EP - 682
BT - Advances in Neural Networks
PB - Springer
CY - Berlin
ER -