Journal Publications

2018

  • Herzog, C., Thomsen, O., Schmarbeck, B., Siebert, M. and Brinkmann, R.: Temperature-Controlled Laser Therapy of the Retina via Robust Adaptive ℋ∞-Control at - Automatisierungstechnik, Invited Article in Special Issue AUTOMED 2018, vol. 66, no. 12, pp. 1051-1063, 2018
    BibTeX Link Auszeichnung
    @article{HeThScSiBr18,
     author = {Herzog, Christian and Thomsen, Ole and Schmarbeck, Benedikt and Siebert, Marlin and Brinkmann, Ralf},
     year = {2018},
     title = {{Temperature-Controlled Laser Therapy of the Retina via Robust Adaptive ℋ∞-Control}},
     journal = {{at - Automatisierungstechnik, Invited Article in Special Issue "AUTOMED 2018"}},
     doi = {10.1515/auto-2018-0066},
     issn = {0178-2312},
     number = {12},
     pages = {1051--1063},
     volume = {66},
     year = {2018}
    }
  • Petersen, E. and Rostalski, P.: A Comprehensive Mathematical Model of Surface Electromyography and Force Generation 2018
    BibTeX
    @article{PeRo18,
     author = {Petersen, Eike and Rostalski, Philipp},
     abstract = {},
     year = {2018},
     title = {{A Comprehensive Mathematical Model of Surface Electromyography and Force Generation}}
    }
    
    
    

2017

  • Morsi, A., Abbas, H. S. and Mohamed, A.: Wind turbine control based on a modified model predictive control scheme for linear parameter-varying systems IET Contr. Theory Applicat., 2017
    BibTeX
    @article{MoAbMo17,
     author = {Morsi, A. and Abbas, Hossam Seddik and Mohamed, A.},
     abstract = {},
     year = {2017},
     title = {{Wind turbine control based on a modified model predictive control scheme for linear parameter-varying systems}},
     journal = {IET Contr. Theory Applicat.},
     note = {in press  {\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}  {\%}{\%} Added: 19.07.1017, by Jan Grasshoff  {\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}}
    }
    
    
    
  • Becher, T., Rostalski, P., Kott, M., Adler, A., Schädler, D., Weiler, N., Frerichs, I. and Weiler, N.: Global and regional assessment of sustained inflation pressure-volume curves in patients with acute respiratory distress syndrome Phys. Meas., vol. 38, no. 6, pp. 1132-1144, 2017
    BibTeX
    @article{BeRoKoAd17,
     author = {Becher, Tobias and Rostalski, Philipp and Kott, Matthias and Adler, Andy and Sch{\"a}dler, Dirk and Weiler, Norbert and Frerichs, Inez and Weiler, N.},
     abstract = {OBJECTIVE
    
    Static or quasi-static pressure-volume (P-V ) curves can be used to determine the lung mechanical properties of patients suffering from acute respiratory distress syndrome (ARDS). According to the traditional interpretation, lung recruitment occurs mainly below the lower point of maximum curvature (LPMC) of the inflation P-V curve. Although some studies have questioned this assumption, setting of positive end-expiratory pressure 2 cmH2O above the LPMC was part of a 'lung-protective' ventilation strategy successfully applied in several clinical trials. The aim of our study was to quantify the amount of unrecruited lung at different clinically relevant points of the P-V curve.
    
    APPROACH
    
    P-V curves and electrical impedance tomography (EIT) data from 30 ARDS patients were analysed. We determined the regional opening pressures for every EIT image pixel and fitted the global P-V curves to five sigmoid model equations to determine the LPMC, inflection point (IP) and upper point of maximal curvature (UPMC). Points of maximal curvature and IP were compared between the models by one-way analysis of variance (ANOVA). The percentages of lung pixels remaining closed ('unrecruited lung') at LPMC, IP and UPMC were calculated from the number of lung pixels exhibiting regional opening pressures higher than LPMC, IP and UPMC and were also compared by one-way ANOVA.
    
    MAIN RESULTS
    
    As results, we found a high variability of LPMC values among the models, a smaller variability of IP and UPMC values. We found a high percentage of unrecruited lung at LPMC, a small percentage of unrecruited lung at IP and no unrecruited lung at UPMC.
    
    SIGNIFICANCE
    
    Our results confirm the notion of ongoing lung recruitment at pressure levels above LPMC for all investigated model equations and highlight the importance of a regional assessment of lung recruitment in patients with ARDS.},
     year = {2017},
     title = {{Global and regional assessment of sustained inflation pressure-volume curves in patients with acute respiratory distress syndrome}},
     pages = {1132--1144},
     volume = {38},
     number = {6},
     journal = {Phys. Meas.},
     note = {Journal Article}
    }
    
    
    
  • Wollnack, S., Abbas, H. S., Tóth, R. and Werner, H.: Fixed-structure LPV-IO controllers: An implicit representation based approach Automatica, vol. 83, pp. 282-289, 2017
    BibTeX
    @article{WoAbToWe17,
     author = {Wollnack, Simon and Abbas, Hossam Seddik and T{\'o}th, Roland and Werner, Herbert},
     abstract = {},
     year = {2017},
     title = {{Fixed-structure LPV-IO controllers: An implicit representation based approach}},
     pages = {282--289},
     volume = {83},
     journal = {Automatica}
    }
    
    
    
  • Becher, T., Schädler, D., Rostalski, P., Zick, G., Frerichs, I. and Weller, N.: Determination of respiratory system compliance during pressure support ventilation by small variations of pressure support J. Clin. Monit. Comput., 2017
    BibTeX
    @article{BeScRoZi17,
     author = {Becher, Tobias and Sch{\"a}dler, Dirk and Rostalski, Philipp and Zick, G{\"u}nther and Frerichs, Inez and Weller, Norbert},
     abstract = {},
     year = {2017},
     title = {{Determination of respiratory system compliance during pressure support ventilation by small variations of pressure support}},
     journal = {J. Clin. Monit. Comput.},
     note = {submitted}
    }
    
    
    
  • Petersen, E., Buchner, H., Eger, M. and Rostalski, P.: Convolutive blind source separation of surface EMG measurements of the respiratory muscles Biomed. Tech., vol. 62, no. 2, pp. 171-181, 2017
    BibTeX
    @article{PeBuEgRo17,
     author = {Petersen, Eike and Buchner, Herbert and Eger, Marcus and Rostalski, Philipp},
     abstract = {Electromyography (EMG) has long been used for the assessment of muscle function and activity and has recently been applied to the control of medical ventilation. For this application, the EMG signal is usually recorded invasively by means of electrodes on a nasogastric tube which is placed inside the esophagus in order to minimize noise and crosstalk from other muscles. Replacing these invasive measurements with an EMG signal obtained non-invasively on the body surface is difficult and requires techniques for signal separation in order to reconstruct the contributions of the individual respiratory muscles. In the case of muscles with small cross-sectional areas, or with muscles at large distances from the recording site, solutions to this problem have been proposed previously. The respiratory muscles, however, are large and distributed widely over the upper body volume. In this article, we describe an algorithm for convolutive blind source separation (BSS) that performs well even for large, distributed muscles such as the respiratory muscles, while using only a small number of electrodes. The algorithm is derived as a special case of the TRINICON general framework for BSS. To provide evidence that it shows potential for separating inspiratory, expiratory, and cardiac activities in practical applications, a joint numerical simulation of EMG and ECG activities was performed, and separation success was evaluated in a variety of noise settings. The results are promising.
    
    ~
    
    Electromyography (EMG) has long been used for the assessment of muscle function and activity and has recently been applied to the control of medical ventilation. For this application, the EMG signal is usually recorded invasively by means of electrodes on a nasogastric tube which is placed inside the esophagus in order to minimize noise and crosstalk from other muscles. Replacing these invasive measurements with an EMG signal obtained non-invasively on the body surface is difficult and requires techniques for signal separation in order to reconstruct the contributions of the individual respiratory muscles. In the case of muscles with small cross-sectional areas, or with muscles at large distances from the recording site, solutions to this problem have been proposed previously. The respiratory muscles, however, are large and distributed widely over the upper body volume. In this article, we describe an algorithm for convolutive blind source separation (BSS) that performs well even for large, distributed muscles such as the respiratory muscles, while using only a small number of electrodes. The algorithm is derived as a special case of the TRINICON general framework for BSS. To provide evidence that it shows potential for separating inspiratory, expiratory, and cardiac activities in practical applications, a joint numerical simulation of EMG and ECG activities was performed, and separation success was evaluated in a variety of noise settings. The results are promising.
    
    // 
    
    Electromyography (EMG) has long been used for the assessment of muscle function and activity and has recently been applied to the control of medical ventilation. For this application, the EMG signal is usually recorded invasively by means of electrodes on a nasogastric tube which is placed inside the esophagus in order to minimize noise and crosstalk from other muscles. Replacing these invasive measurements with an EMG signal obtained non-invasively on the body surface is difficult and requires techniques for signal separation in order to reconstruct the contributions of the individual respiratory muscles. In the case of muscles with small cross-sectional areas, or with muscles at large distances from the recording site, solutions to this problem have been proposed previously. The respiratory muscles, however, are large and distributed widely over the upper body volume. In this article, we describe an algorithm for convolutive blind source separation (BSS) that performs well even for large, distributed muscles such as the respiratory muscles, while using only a small number of electrodes. The algorithm is derived as a special case of the TRINICON general framework for BSS. To provide evidence that it shows potential for separating inspiratory, expiratory, and cardiac activities in practical applications, a joint numerical simulation of EMG and ECG activities was performed, and separation success was evaluated in a variety of noise settings. The results are promising.},
     year = {2017},
     title = {{Convolutive blind source separation of surface EMG measurements of the respiratory muscles}},
     pages = {171--181},
     volume = {62},
     number = {2},
     journal = {Biomed. Tech.},
     note = {Evaluation Studies
    
    Journal Article}
    }
    
    
    
  • Abbas, H. S., Hanema, J., Tóth, R., Mohammadpour, J. and Meskin, N.: An improved robust model predictive control for linear parameter-varying input-output models Int. J. Rob. Nonlin. Contr., 2017
    BibTeX
    @article{AbHaToMo17,
     author = {Abbas, Hossam Seddik and Hanema, J. and T{\'o}th, Roland and Mohammadpour, Javad and Meskin, Nader},
     abstract = {},
     year = {2017},
     title = {{An improved robust model predictive control for linear parameter-varying input-output models}},
     journal = {Int. J. Rob. Nonlin. Contr.},
     note = {in press}
    }
    
    
    

2016

  • Rahme, S., Abbas, H. S., Meskin, N., Tóth, R. and Mohammadpour, J.: LPV model development and control of a solution copolymerization reactor Contr. Eng. Prac., vol. 48, pp. 98-110, 2016
    BibTeX
    @article{RaAbMeTo16,
     author = {Rahme, Sandy and Abbas, Hossam Seddik and Meskin, Nader and T{\'o}th, Roland and Mohammadpour, Javad},
     abstract = {},
     year = {2016},
     title = {{LPV model development and control of a solution copolymerization reactor}},
     pages = {98--110},
     volume = {48},
     journal = {Contr. Eng. Prac.}
    }
    
    
    
  • Hoffmann, C., Werner, H. and Werner, H.: Convex Distributed Controller Synthesis for Interconnected Heterogeneous Subsystems via Virtual Normal Interconnection Matrices IEEE Trans. Automat. Contr., vol. 62, no. 10, pp. 5337-5342, 2016
    BibTeX
    @article{HoWe16,
     author = {Hoffmann, Christian and Werner, Herbert and Werner, H.},
     abstract = {},
     year = {2016},
     title = {{Convex Distributed Controller Synthesis for Interconnected Heterogeneous Subsystems via Virtual Normal Interconnection Matrices}},
     pages = {5337--5342},
     volume = {62},
     number = {10},
     journal = {IEEE Trans. Automat. Contr.}
    }
    
    
    
  • Abbas, H. S., Tóth, R., Meskin, N., Mohammadpour, J. and Hanema, J.: A Robust MPC for Input-Output LPV Models IEEE Trans. Automat. Contr., vol. 61, no. 12, pp. 4183-4188, 2016
    BibTeX
    @article{AbToMeMo16,
     author = {Abbas, Hossam Seddik and T{\'o}th, Roland and Meskin, Nader and Mohammadpour, Javad and Hanema, J.},
     abstract = {},
     year = {2016},
     title = {{A Robust MPC for Input-Output LPV Models}},
     pages = {4183--4188},
     volume = {61},
     number = {12},
     journal = {IEEE Trans. Automat. Contr.}
    }
    
    
    

2015

  • Ziaian, D., Rostalski, P., Berggreen, A. E., Brandt, S., Grossherr, M., Gehring, H., Hengstenberg, A. and ZImmermann, S.: Improving Systems Dynamics by Means of Advanced Signal Processing: Mathematical, Laboratorial and Clinical Evaluation of Propofol Monitoring in Breathing Gas Sensors & Transducers, vol. 193, no. 10, pp. 145-153, 2015
    BibTeX
    @article{ZiRoBeBr15,
     author = {Ziaian, Dammon and Rostalski, Philipp and Berggreen, A. E. and Brandt, S. and Grossherr, M. and Gehring, H. and Hengstenberg, Andreas and ZImmermann, Stefan},
     abstract = {},
     year = {2015},
     title = {{Improving Systems Dynamics by Means of Advanced Signal Processing: Mathematical, Laboratorial and Clinical Evaluation of Propofol Monitoring in Breathing Gas}},
     pages = {145--153},
     volume = {193},
     number = {10},
     journal = {Sensors {\&} Transducers}
    }
    
    
    
  • Bhardwaj, A., Rostalski, P. and Sanyal, R.: Deciding Polyhedrality of Spectrahedra SIAM J. Optim., vol. 25, no. 3, pp. 1873-1884, 2015
    BibTeX
    @article{BhRoSa15,
     author = {Bhardwaj, Avinash and Rostalski, Philipp and Sanyal, Raman},
     abstract = {},
     year = {2015},
     title = {{Deciding Polyhedrality of Spectrahedra}},
     pages = {1873--1884},
     volume = {25},
     number = {3},
     journal = {SIAM J. Optim.}
    }
    
    
    
  • Hoffmann, C., Eichler, A. and Werner, H.: Control of Heterogeneous Groups of Systems Interconnected Through Directed and Switching Topologies IEEE Trans. Automat. Contr., vol. 60, no. 7, pp. 1904-1909, 2015
    BibTeX
    @article{HoEiWe15,
     author = {Hoffmann, Christian and Eichler, A. and Werner, Herbert},
     abstract = {},
     year = {2015},
     title = {{Control of Heterogeneous Groups of Systems Interconnected Through Directed and Switching Topologies}},
     pages = {1904--1909},
     volume = {60},
     number = {7},
     journal = {IEEE Trans. Automat. Contr.}
    }