Publications

Dr. Lihong Feng

Journal Article (18)

  1. 1.
    Antoulas, A. C.; Benner, P.; Feng, L.: Model Reduction by Iterative Error System Approximation. Mathematical and Computer Modelling of Dynamical Systems 24 (2), pp. 103 - 118 (2018)
  2. 2.
    Banagaaya, N.; Benner, P.; Feng, L.; Meuris, P.; Schoenmaker, W.: An Index-Aware Parametric Model Order Reduction Method for Parameterized Quadratic Differential–Algebraic Equations. Applied Mathematics and Computation 319, pp. 409 - 424 (2017)
  3. 3.
    Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: POD-DEIM for Efficient Reduction of a Dynamic 2D Catalytic Reactor Model. Computers & Chemical Engineering 106, pp. 777 - 784 (2017)
  4. 4.
    Feng, L.; Antoulas, A. C.; Benner, P.: Some a Posteriori Error Bounds for Reduced-Order Modelling of (Non-) Parametrized Linear Systems. ESAIM: Mathematical Modelling and Numerical Analysis 51 (6), pp. 2127 - 2158 (2017)
  5. 5.
    Feng, L.; Mangold, M.; Benner, P.: Adaptive POD–DEIM Basis Construction and its Application to a Nonlinear Population Balance System. AIChE Journal 63 (9), pp. 3832 - 3844 (2017)
  6. 6.
    Zhang, Y.; Feng, L.; Seidel-Morgenstern, A.; Benner, P.: Accelerating Optimization and Uncertainty Quantification of Nonlinear SMB Chromatography Using Reduced-Order Models. Computers & Chemical Engineering 96, pp. 237 - 247 (2017)
  7. 7.
    Feng, L.; Yue, Y.; Banagaaya, N.; Meuris, P.; Schoenmaker, W.; Benner, P.: Parametric Modeling and Model Order Reduction for (Electro-)Thermal Analysis of Nanoelectronic Structures. Journal of Mathematics in Industry 6 (1), 10 (2016)
  8. 8.
    ter Maten, E. J. W.; Putek, P.; Günther, M.; Pulch, R.; Tischendorf, C.; Strohm, C.; Schoenmaker, W.; Meuris, P.; de Smedt, B.; Benner, P. et al.; Feng, L.; Banagaaya, N.; Yue, Y.; Janssen, R.; Dohmen, J. J.; Tasić, B.; Deleu, F.; Gillon, R.; Wieers, A.; Brachtendorf, H.-G.; Bittner, K.; Kratochvíl, T.; Petřzela, J.; Sotner, R.; Göthans, T.; Dřínovský, J.; Schöps, S.; Duque Guerra, D. J.; Casper, T.; De Gersem, H.; Römer, U.; Reynier, P.; Barroul, P.; Masliah, D.; Rousseau, B.: Nanoelectronic COupled Problems Solutions - nanoCOPS: Modelling, Multirate, Model Order Reduction, Uncertainty Quantification, Fast Fault Simulation. Journal of Mathematics in Industry 7 (1), 2 (2016)
  9. 9.
    Ahuja, K.; Benner, P.; de Sturler, E.; Feng, L.: Recycling BiCGSTAB with an Application to Parametric Model Order Reduction. SIAM Journal on Scientific Computing 37 (5), pp. S429 - S446 (2015)
  10. 10.
    Benner, P.; Feng, L.: Model Order Reduction for Coupled Problems: Survey. Applied and Computational Mathematics: An International Journal 14 (1), pp. 3 - 22 (2015)
  11. 11.
    Feng, L.; Korvink, J. G.; Benner, P.: A Fully Adaptive Scheme for Model Order Reduction Based on Moment-Matching. IEEE Transactions on Components, Packaging, and Manufacturing Technology 5 (12), pp. 1872 - 1884 (2015)
  12. 12.
    Mangold, M.; Feng, L.; Khlopov, D.; Palis, S.; Benner, P.; Binev, D.; Seidel-Morgenstern, A.: Nonlinear model reduction of a continuous fluidized bed crystallizer. Journal of Computational and Applied Mathematics 289, pp. 253 - 266 (2015)
  13. 13.
    Zhang, Y.; Feng, L.; Li, S.; Benner, P.: Accelerating PDE Constrained Optimization by the Reduced Basis Method: Application to Batch Chromatography. International Journal for Numerical Methods in Engineering 104 (11), pp. 983 - 1007 (2015)
  14. 14.
    Zhang, Y.; Feng, L.; Li, S.; Benner, P.: An Efficient Output Error Estimation for Model Order Reduction of Parametrized Evolution Equations. SIAM Journal on Scientific Computing 37 (6), pp. B910 - B936 (2015)
  15. 15.
    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)
  16. 16.
    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)
  17. 17.
    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)
  18. 18.
    Feng, L.; Benner, P.; Korvink, J. G.: Subspace Recycling Accelerates the Parametric Macro‐modeling of MEMS. International Journal for Numerical Methods in Engineering 94 (1), pp. 84 - 110 (2013)

Book (1)

  1. 19.
    Bechtold, T.; Schrag, G.; Feng, L. (Eds.): System-level Modeling of MEMS. Wiley-VCH, Weinheim (2013), 530 pp.

Book Chapter (9)

  1. 20.
    Banagaaya, N.; Feng, L.; Schoenmaker, W.; Meuris, P.; Gillon, R.; Benner, P.: Sparse Model Order Reduction for Electro-Thermal Problems with Many Inputs. In: Scientific Computing in Electrical Engineering, pp. 189 - 202 (Eds. Langer, U.; Amrhein, W.; Zulehner, W.) (2018)
  2. 21.
    Banagaaya, N.; Benner, P.; Feng, L.: Parametric Model Order Reduction for Electro-Thermal Coupled Problems with Many Inputs. In: Progress in Industrial Mathematics at ECMI 2016, pp. 263 - 270 (Eds. Quintela, P.; Barral, P.; Gómez, D.; Pena, F. J.; Rodríguez, J. et al.). Springer International Publishing, Cham, Switzerland (2017)
  3. 22.
    Feng, L.; Antoulas, A. C.; Benner, P.: Automatic Generation of Reduced Order Models for Linear Parametric Systems. In: Progress in Industrial Mathematics at ECMI 2014, pp. 811 - 818 (Eds. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham, Switzerland (2017)
  4. 23.
    Janssen, H. H. J. M.; Benner, P.; Bittner, K.; Brachtendorf, H.-G.; Feng, L.; ter Maten, E. J. W.; Pulch, R.; Schoenmaker, W.; Schöps, S.; Tischendorf, C.: The European Project nanoCOPS for Nanoelectronic Coupled Problems Solutions. In: Progress in Industrial Mathematics at ECMI 2014, pp. 835 - 842 (Eds. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham, Switzerland (2017)
  5. 24.
    Feng, L.; Meuris, P.; Schoenmaker, W.; Benner, P.: Parametric and Reduced-Order Modeling for the Thermal Analysis of Nanoelectronic Structures. In: Scientific Computing in Electrical Engineering, pp. 155 - 163 (Eds. Bartel, A.; Clemens, M.; Günther, M.; ter Maten, E. J. W.). Springer International Publishing, Switzerland (2016)
  6. 25.
    Benner, P.; Feng, L.; Li, S.; Zhang, Y.: Reduced-Order Modeling and ROM-Based Optimization of Batch Chromatography. In: Numerical Mathematics and Advanced Applications - ENUMATH 2013, pp. 427 - 435 (Eds. Abdulle, A.; Deparis, S.; Kressner, D.; Nobile, F.; Picasso, M.). Springer International Publishing, Cham (2015)
  7. 26.
    Benner, P.; Breiten, T.; Feng, L.: Matrix Equations and Model Reduction. In: Matrix Functions and Matrix Equations, pp. 50 - 75 (Eds. Bai, Z.; Gao, W.; Su, Y.). World Scientific, New Jersey (2015)
  8. 27.
    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)
  9. 28.
    Feng, L.; Benner, P.; Korvink, J. G.: System-Level Modeling of MEMS by Means of Model Order Reduction (Mathematical Approximation) - Mathematical Background. In: System-level Modeling of MEMS, pp. 53 - 93 (Eds. Bechtold, T.; Schrag, G.; Feng, L.). Wiley-VCH, Weinheim (2013)

Conference Paper (10)

  1. 29.
    Banagaaya, N.; Feng, L.; Schoenmaker, W.; Meuris, P.; Wieers, A.; Gillon, R.; Benner, P.: Model Order Reduction for Nanoelectronics Coupled Problems with Many Inputs. In: Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 313 - 318. 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE 2016), Dresden, Germany, March 14, 2016 - March 18, 2016. (2016)
  2. 30.
    Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Nonlinear Model Order Reduction for Catalytic Tubular Reactors. In: 26th European Symposium on Computer Aided Process Engineering, pp. 2373 - 2378. 26th European Symposium on Computer Aided Process Engineering - ESCAPE 26, Portorož, Slovenia, June 12, 2016 - June 15, 2016. (2016)
  3. 31.
    Kweyu, C. M.; Hess, M. W.; Feng, L.; Stein, M.; Benner, P.: Reduced Basis Method for Poisson-Boltzmann Equation. In: Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering: Volume II, pp. 4187 - 4195 (Eds. Papadrakakis, M.; Papadopoulos, V.; Stefanou, G.; Plevris, V.). VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, June 05, 2016 - June 10, 2016. National Technical University of Athens (NTUA), Athens, Greece (2016)
  4. 32.
    Ahmad, M. I.; Benner, P.; Feng, L.: A New Interpolatory Model Reduction Approach for Quadratic Bilinear Descriptor Systems. 86th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Lecce, Italy, March 23, 2015 - March 27, 2015. Proceedings in Applied Mathematics and Mechanics 15 (1), pp. 589 - 590 (2015)
  5. 33.
    Yue, Y.; Feng, L.; Meuris, P.; Schoenmaker, W.; Benner, P.: Application of Krylov-type Parametric Model Order Reduction in Efficient Uncertainty Quantification of Electro-thermal Circuit Models. In: Proceedings of the Progress In Electromagnetics Research Symposium (PIERS 2015), pp. 379 - 384. 36th Progress In Electromagnetics Research Symposium, Prague, Czech Republic, July 06, 2015 - July 09, 2015. (2015)
  6. 34.
    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)
  7. 35.
    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)
  8. 36.
    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)
  9. 37.
    Bechtold, T.; Schrag, G.; Feng, L.: Enabling technologies for system-level simulation of MEMS. In: Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), pp. 1 - 6. EuroSimE 2013 - 14th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, Wroclaw, Poland, April 14, 2013 - April 17, 2013. (2013)
  10. 38.
    Li, S.; Feng, L.; Benner, P.; Seidel-Morgenstern, A.: Efficient Optimization of Simulated Moving Bed Processes Using Reduced Order Models. In: 22nd European Symposium on Computer Aided Process Engineering, pp. 1232 - 1236 (Eds. Bogle, D. L.; Fairweather, M.). ESCAPE 22 - 22nd European Symposium on Computer Aided Process Engineering, London, UK, June 17, 2012 - June 20, 2012. (2012)

Meeting Abstract (2)

  1. 39.
    Banagaaya, N.; Feng, L.; Meuris, P.; Schoenmaker, W.; Benner, P.: Model Order Reduction of an Electro-Thermal Package Model. In: IFAC-PapersOnLine, Vol. 48, pp. 934 - 935. 8th Vienna International Conference on Mathematical Modelling, Vienna, Austria, February 18, 2015 - February 20, 2015. (2015)
  2. 40.
    Zhang, Y.; Feng, L.; Li, S.: An Efficient Output Error Bound for Model Order Reduction of Parametrized Evolution Equations. In: IFAC-PapersOnLine, Vol. 48, pp. 9 - 10. 8th Vienna International Conference on Mathematical Modelling MATHMOD, Vienna, Austria, February 18, 2015 - February 20, 2015. (2015)

Talk (6)

  1. 41.
    Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Towards Fast Optimal Control of CO2Methanation Reactors via POD-DEIM. MODRED 2017, Odense, Denmark (2017)
  2. 42.
    Kweyu, C. M.; Feng, L.; Stein, M.; Benner, P.: Reduced basis method for Poisson-Boltzmann equation. 3rd Workshop on Model Reduction of Complex Dynamical Systems (MODRED 2017), Odense, Denmark (2017)
  3. 43.
    Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Reduced Order Modeling and Optimization of CO2 Methanation Reactors. ALOP Workshop: Reduced Order Models in Optimization, Trier, Germany (2016)
  4. 44.
    Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Reduced Order Modeling and Optimization of CO2 Methanation Reactors. Workshop on Optimal and Feedback Control of Differential Equations, Konstanz, Germany (2016)
  5. 45.
    Kweyu, C. M.; Hess, M. W.; Feng, L.; Stein, M.; Benner, P.: Reduced Basis Method for Poisson-Boltzmann Equation. VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece (2016)
  6. 46.
    Kweyu, C. M.; Hess, M. W.; Feng, L.; Stein, M.; Benner, P.: Reduced Basis Method for Poisson-Boltzmann Equation. Reduced Basis Summer School 2016, Hedersleben, Germany (2016)

Poster (1)

  1. 47.
    Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Optimization and Reduced Order Modeling of CO2 Methanation Reactors. KoMSO Challenge Workshop "Reduced-Order Modeling for Simulation and Optimization"​, Renningen, Germany (2016)

Working Paper (1)

  1. 48.
    Benner, P.; Feng, L.; Kweyu, C. M.; Stein, M.: Fast Solution of the Poisson-Boltzmann Equation with nonaffine Parametrized Boundary Conditions Using the Reduced Basis Method. (2017)
 
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