Dr. Lihong Feng

Journal Article (3)

1. 1.
   MPG.PuRe

   DOI
   Baur, U.; Benner, P.; Feng, L.: Model Order Reduction for Linear and Nonlinear Systems: A System-Theoretic Perspective. Archives of Computational Methods in Engineering 21 (4), pp. 331 - 358 (2014)
2. 2.
   MPG.PuRe

   DOI
   Li, S.; Feng, L.; Benner, P.; Seidel-Morgenstern, A.: Using Surrogate Models for Efficient Optimization of Simulated Moving Bed Chromatography. Computers and Chemical Engineering 67, pp. 121 - 132 (2014)
3. 3.
   MPG.PuRe

   DOI
   Li, S.; Yue, Y.; Feng, L.; Benner, P.; Seidel-Morgenstern, A.: Model Reduction for Linear Simulated Moving Bed Chromatography Systems Using Krylov-Subspace Methods. AIChE-Journal 60 (11), pp. 3773 - 3783 (2014)

Book item (1)

1. 4.
   MPG.PuRe

   DOI
   Benner, P.; Feng, L.: A Robust Algorithm for Parametric Model Order Reduction Based on Implicit Moment Matching. In: Reduced Order Methods for Modeling and Computational Reduction, pp. 159 - 185 (Eds. Quarteroni, A.; Rozza, G.). Springer International Publishing, Cham (2014)

Conference Paper (3)

1. 5.
   MPG.PuRe

   DOI
   Bechtold, T.; Schrag, G.; Feng, L.: Enabling technologies for system-level simulation of MEMS. In: Electronics System-Integration Technology Conference (ESTC), 2014, pp. 1 - 6. Electronics System-Integration Technology Conference (ESTC 2014), Helsinki, Finland, September 16, 2014 - September 18, 2014. (2014)
2. 6.
   MPG.PuRe

   DOI
   Yue, Y.; Feng, L.; Seidel-Morgenstern, A.; Benner, P.: Efficient Model Reduction of SMB Chromatography by Krylov-subspace Method with Application to Uncertainty Quantification. In: 24th European Symposium on Computer Aided Process Engineering, pp. 925 - 930. 24th European Symposium on Computer Aided Process Engineering - ESCAPE, Budapest, Ungarn, June 15, 2014 - June 18, 2014. (2014)
3. 7.
   MPG.PuRe

   DOI
   Yue, Y.; Li, S.; Feng, L.; Seidel-Morgenstern, A.; Benner, P.: Using Model Order Reduction to Accelerate Optimization of Multi-Stage Linear Dynamical Systems. In: Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014, pp. 453 - 458. 4th International Conference on Engineering Optimization, Lisbon, Portugal, September 08, 2014 - September 11, 2014. (2014)