Improvement in the Performance of Online Control Applications via Enhanced Modeling Techniques
暂无分享,去创建一个
[1] Bill Curtis,et al. Process modeling , 1992, CACM.
[2] N. Bonavita,et al. Improvements in process control through model-based techniques: a control system vendor's perspective , 1998, Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104).
[3] B. Moor,et al. Subspace identification for linear systems , 1996 .
[4] Richard S. Sutton,et al. Neural networks for control , 1990 .
[5] Michael Lundh,et al. State-Space Models in Model Predictive Control , 2022 .
[6] Donald F. Specht,et al. A general regression neural network , 1991, IEEE Trans. Neural Networks.
[7] Tariq Samad,et al. Automation, control and complexity: an integrated approach , 2000 .
[8] S.Joe Qin,et al. Neural Networks for Intelligent Sensors and Control — Practical Issues and Some Solutions , 1997 .
[9] S. Joe Qin,et al. A survey of industrial model predictive control technology , 2003 .
[10] Geoff Barton,et al. Process control: Designing processes and control systems for dynamic performance , 1996 .
[11] J. Morris,et al. Monitoring process manufacturing performance , 2002 .
[12] Malcolm C. Beaverstock. It takes knowledge to apply neural networks for control , 1993 .
[13] K.A. Hoo,et al. Multivariate statistics for process control , 2002, IEEE Control Systems.
[14] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[15] D. Pullar,et al. Overcoming the hurdles. , 2000 .
[16] Manfred Morari,et al. Model predictive control: Theory and practice - A survey , 1989, Autom..
[17] Rick L. Edgeman,et al. Multivariate Statistical Process Control with Industrial Applications , 2004, Technometrics.
[18] Nunzio Bonavita,et al. APPLIED TO REFINERY INFERENTIAL ANALYZER PROBLEMS , .
[19] J. Freeman. Neural network development and deployment rules-of-thumb , 1999 .