|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis显示文摘To study the dynamic behavior of a process,time-resolved data are collected at different time instants during each of a series of experiments,which are usually designed with the design of experiments or the design of dynamic experiments methodologies.For utilizing such time-resolved data to model the dynamic behavior,dynamic response surface methodology(DRSM),a datadriven modeling method,has been proposed.Two approaches can be adopted in the estimation of the model parameters:stepwise regression,used in several of previous publications,and Lasso regression,which is newly incorporated in this paper for the estimation of DRSM models.Here,we show that both approaches yield similarly accurate models,while the computational time of Lasso is on average two magnitude smaller.Two case studies are performed to show the advantages of the proposed method.In the first case study,where the concentrations of different species are modeled directly,DRSM method provides more accurate models compared to the models in the literature.The second case study,where the reaction extents are modeled instead of the species concentrations,illustrates the versatility of the DRSM methodology.Therefore,DRSM with Lasso regression can provide faster and more accurate datadriven models for a variety of organic synthesis datasets. | Yachao Dong Christos Georgakis Jacob Santos-Marques Jian Du | 2022 | Frontiers of Chemical Science and Engineering2022，16，2： | 2 |
| 2 | Systematic Estimation of State Noise Statistics for Extended Kalman Filters显示文摘 | Jaleel Valappil Christos Georgakis | 2000 | AiChE journal/American institute of chemical engineers (S0001-1541)2000，46，2： | 1 |
| 3 | Systematic Estimation of State Noise Statistics for Extended Kalman Filters 显示文摘 | Jaleel Valappil Christos Georgakis | 2000 | AiChE Journal/ American Institute of Chemical Engineers (S0001-1541)2000，46，2： | 1 |
| 4 | A Practical Assessment of Process Data Compression Techniques 显示文摘 | Antonios Liakopoulos Dragana Brzakovic Christos Georgakis | 1998 | Ind End Chem Res1998，37，： | 1 |
| 5 | Disturbance Detection and Isolation by Dynamic Principal Component Analysis显示文摘 | Ku Wenfu Storer Robert H Georgakis Christos | 1995 | Chemometrics and Intelligent Laboratory System1995，30，： | 1 |
| 6 | Disturbance detection and isolation by dynamic principal component analysis显示文摘 | Wenfu Ku Robert H. Storer Christos Georgakis | 1995 | Chemometrics and Intelligent Laboratory Systems1995，，： | 1 |
| 7 | Disturbance detection and isolation by dynamic principal component analysis显示文摘 | Wenfu Ku Robert Storer Christos Georgakis | 1995 | Chemometrics and Intelligent Laboratory Systems1995，30，： | 1 |
| 8 | Disturb- ance detection and isolation by dynamic principal component analysis显示文摘 | Ku Wenfu Robert H Storer Christos Georgakis | | 0，，01： | 1 |
| 9 | Controller performance assessment based on minimum and open-loop output variance显示文摘 | Bezergianni S Christos Georgakis | 2000 | Control Engineering Practice2000，8，7： | 1 |
| 10 | Design of output constraints for model-based non-square controllers using interval operability显示文摘 | Fernando V. Lima Christos Georgakis | 2007 | Journal of Process Control2007，，6： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员