Yongmao Xu

According to our database1, Yongmao Xu authored at least 11 papers between 1999 and 2008.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2008
Iterative learning control with reference batch for linear time-variant systems.
Proceedings of the 10th International Conference on Control, 2008

2006
Hierarchical Neural Network Based Product Quality Prediction of Industrial Ethylene Pyrolysis Process.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Dynamic Soft-Sensing Model by Combining Diagonal Recurrent Neural Network with Levinson Predictor.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
Neural Network Based On-Line Shrinking Horizon Re-optimization of Fed-Batch Processes.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

An integrated batch-to-batch iterative learning control and within batch control strategy for batch processes.
Proceedings of the American Control Conference, 2005

2004
A Novel Nonlinear Projection to Latent Structures Algorithm.
Proceedings of the Advances in Neural Networks, 2004

Run-to-Run Iterative Optimization Control of Batch Processes.
Proceedings of the Advances in Neural Networks, 2004

Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace.
Proceedings of the 8th International Conference on Control, 2004

2002
Dynamic modelling of an industrial polypropylene reactor and its application in melt index prediction during grade transitions.
Proceedings of the American Control Conference, 2002

Optimal energy cost in ideal internal thermally coupled distillation columns.
Proceedings of the American Control Conference, 2002

1999
A new method for density estimation by using forward neural network.
Proceedings of the International Joint Conference Neural Networks, 1999


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