Dr. Hossam Abbas

Alexander von Humboldt Fellow for Experienced Researcher


Institute for Electrical Engineering in Medicine
Universität zu Lübeck
Moislinger Allee 53-55
23558 Lübeck
Gebäude 19,

Email:hossameldin.abbas(at)uni-luebeck.de
Phone:+49 451 3101 6217
Fax:

 

Research Interests

Model predictive control (MPC) is an advanced online control technique which recently has received growing attention for controlling biomedical systems. It is a multivariable approach that can handle efficiently signal constraints, system delay and compensate for disturbances. To further strengthen the capabilities of MPC, an adaptive based MPC has been introduced in the literature by allowing MPC for Linear parameter-varying (LPV) models, which are linear dynamical representations capable of describing nonlinear/time-varying (NL/TV) behavior of a system. This allows for well-defined linear control techniques to control NL/TV systems. In spite of the active research in the context of MPC-LPV design since early 2000s, such a powerful control tool has not yet been exploited effectively for real-time applications. This is due to the high computational burden as well as design conservatism associated with the available approaches and due to overlooking several practical considerations for real-time implementation. This project aims at developing practically efficient MPC-LPV design algorithms for biomedical applications, which can respect the key considerations for real-time implementation and compromise between online computational complexity and conservativeness. This will be carried out by introducing a novel MPC-LPV framework capable of producing control algorithms that can be implemented online based on measured input/output signals of the underlying process instead of its states, as commonly considered in the literature, which are often difficult to be measured or estimated online. Moreover, for being realistic, theses algorithms will take in consideration potential multiplicative/additive uncertainties of the system in terms of deterministic and stochastic settings. To reduce the online computational burden, the notions of invariant sets will be extended to the proposed MPC-LPV framework. The developed control algorithms will be investigated and assessed in terms of control of end-tidal gases concentrations for mechanical ventilation systems in surgeries and intensive care medicine, which could ensure a reliable performance with guaranteed safety and quality.

 


Publications

Journal Publications

2017

  • Morsi, A. and Abbas, Hossam Seddik 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  {\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}{\%}}
    }
    
    
    
  • Wollnack, Simon and Abbas, Hossam Seddik and Tóth, Roland and Werner, Herbert: Fixed-structure LPV-IO controllers: An implicit representation based approach. Automatica, no. 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}
    }
    
    
    
  • Abbas, Hossam Seddik and Hanema, J. and Tóth, Roland and Mohammadpour, Javad and Meskin, Nader: 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, Sandy and Abbas, Hossam Seddik and Meskin, Nader and Tóth, Roland and Mohammadpour, Javad: LPV model development and control of a solution copolymerization reactor. Contr. Eng. Prac., no. 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.}
    }
    
    
    
  • Abbas, Hossam Seddik and Tóth, Roland and Meskin, Nader and Mohammadpour, Javad and Hanema, J.: A Robust MPC for Input-Output LPV Models. IEEE Trans. Automat. Contr., no. 61, 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.}
    }
    
    
    

2014

  • Hoffmann, Christian and Hashemi, Seyed Mahdi and Abbas, Hossam Seddik and Werner, Herbert: Synthesis of LPV Controllers With Low Implementation Complexity Based on a Reduced Parameter Set. IEEE Trans. Contr. Syst. Technol., no. 22, pp. 2393-2398, 2014
    BibTeX
    @article{HoHaAbWe14,
     author = {Hoffmann, Christian and Hashemi, Seyed Mahdi and Abbas, Hossam Seddik and Werner, Herbert},
     abstract = {},
     year = {2014},
     title = {{Synthesis of LPV Controllers With Low Implementation Complexity Based on a Reduced Parameter Set}},
     pages = {2393--2398},
     volume = {22},
     number = {6},
     journal = {IEEE Trans. Contr. Syst. Technol.}
    }
    
    
    
  • Abbas, Hossam Seddik and Ali, A. and Hashemi, Seyed Mahdi and Werner, Herbert: LPV state-feedback control of a control moment gyroscope. Contr. Eng. Prac., no. 24, pp. 129-137, 2014
    BibTeX
    @article{AbAlHaWe14,
     author = {Abbas, Hossam Seddik and Ali, A. and Hashemi, Seyed Mahdi and Werner, Herbert},
     abstract = {},
     year = {2014},
     title = {{LPV state-feedback control of a control moment gyroscope}},
     pages = {129--137},
     volume = {24},
     number = {3},
     journal = {Contr. Eng. Prac.}
    }
    
    
    

2012

  • Hashemi, Seyed Mahdi and Abbas, Hossam Seddik and Werner, Herbert: Low-Complexity Linear Parameter-Varying Modeling and Control of a Robotic Manipulator. Contr. Eng. Prac., no. 20, pp. 248-257, 2012
    BibTeX
    @article{HaAbWe12,
     author = {Hashemi, Seyed Mahdi and Abbas, Hossam Seddik and Werner, Herbert},
     abstract = {},
     year = {2012},
     title = {{Low-Complexity Linear Parameter-Varying Modeling and Control of a Robotic Manipulator}},
     pages = {248--257},
     volume = {20},
     number = {3},
     journal = {Contr. Eng. Prac.}
    }
    
    
    

2011

  • Abbas, Hossam Seddik and Werner, Herbert: Frequency Weighted Discrete-Time LPV Model Reduction Using Structurally Balanced Truncation. IEEE Trans. Contr. Syst. Technol., no. 19, pp. 140-147, 2011
    BibTeX
    @article{AbWe11,
     author = {Abbas, Hossam Seddik and Werner, Herbert},
     abstract = {},
     year = {2011},
     title = {{Frequency Weighted Discrete-Time LPV Model Reduction Using Structurally Balanced Truncation}},
     pages = {140--147},
     volume = {19},
     number = {1},
     journal = {IEEE Trans. Contr. Syst. Technol.}
    }
    
    
    

Conference Publications

2016

  • Hanema, J. and Tóth, Roland and Lazar, M. and Abbas, Hossam Seddik: MPC for Linear Parameter-Varying Systems in Input-Output Representation. in Proc. IEEE Multi-Conf. Syst. Contr., pp. 354-359, 2016
    BibTeX
    @inproceedings{HaToLaAb16,
     author = {Hanema, J. and T{\'o}th, Roland and Lazar, M. and Abbas, Hossam Seddik},
     abstract = {},
     title = {{MPC for Linear Parameter-Varying Systems in Input-Output Representation}},
     pages = {354--359},
     year = {2016},
     booktitle = {Proc. IEEE Multi-Conf. Syst. Contr.}
    }
    
    
    

2015

  • Abbas, Hossam Seddik and Rahme, Sandy and Meskin, Nader and Hoffmann, Christian and Tóth, Roland and Mohammadpour, Javad: Linear Parameter-Varying Control of a Copolymerization Reactor. in 1st IFAC Workshop LPV Syst., 2015
    BibTeX
    @inproceedings{AbRaMeHo15,
     author = {Abbas, Hossam Seddik and Rahme, Sandy and Meskin, Nader and Hoffmann, Christian and T{\'o}th, Roland and Mohammadpour, Javad},
     abstract = {},
     title = {{Linear Parameter-Varying Control of a Copolymerization Reactor}},
     year = {2015},
     booktitle = {1st IFAC Workshop LPV Syst.}
    }
    
    
    

2014

  • Hoffmann, Christian and Hashemi, Seyed Mahdi and Abbas, Hossam Seddik and Werner, Herbert: Synthesis of LPV Controllers With Reduced Implementation Complexity. in Proc. Amer. Control Conf, pp. 3766-3771, 2014
    BibTeX
    @inproceedings{HoHaAbWe14b,
     author = {Hoffmann, Christian and Hashemi, Seyed Mahdi and Abbas, Hossam Seddik and Werner, Herbert},
     abstract = {},
     title = {{Synthesis of LPV Controllers With Reduced Implementation Complexity}},
     pages = {3766--3771},
     year = {2014},
     booktitle = {Proc. Amer. Control Conf}
    }
    
    
    

2013

  • Hoffmann, Christian and Hashemi, Seyed Mahdi and Abbas, Hossam Seddik and Werner, Herbert: Benchmark Problem -- Nonlinear Control of a 3-DOF Robotic Manipulator. in Proc. 52nd IEEE Conf. Decision Control, pp. 5534-5539, 2013
    BibTeX
    @inproceedings{HoHaAbWe13,
     author = {Hoffmann, Christian and Hashemi, Seyed Mahdi and Abbas, Hossam Seddik and Werner, Herbert},
     abstract = {},
     title = {{Benchmark Problem --- Nonlinear Control of a 3-DOF Robotic Manipulator}},
     pages = {5534--5539},
     year = {2013},
     booktitle = {Proc. 52nd IEEE Conf. Decision Control}
    }
    
    
    

2012

  • Hoffmann, Christian and Hashemi, Seyed Mahdi and Abbas, Hossam Seddik and Werner, Herbert: Closed-Loop Stability and Performance Optimization in LPV Control Based on a Reduced Parameter Set. in Proc. 51st IEEE Conf. Decision Control, pp. 5146-5151, 2012
    BibTeX
    @inproceedings{HoHaAbWe12,
     author = {Hoffmann, Christian and Hashemi, Seyed Mahdi and Abbas, Hossam Seddik and Werner, Herbert},
     abstract = {A major difficulty encountered in the application of linear parameter-varying (LPV) control is the complexity of synthesis and implementation when the number of scheduling parameters is large. Often heuristic ad hoc solutions involve the neglection of individual scheduling parameters, such that standard LPV controller synthesis methods become applicable. The principle component analysis (PCA) based technique of parameter set mapping (PSM) has been proposed as a systematic way for obtaining LPV models with fewer scheduling parameters. However, controller designs based on an approximate model cannot guarantee stability and performance when implemented on the original plant. In this paper, a posteriori conditions are proposed to assess closed-loop stability and performance. Moreover, a possible synthesis approach is sketched based on iterating between convex optimization problems. A two-degree-of- freedom (2-DOF) robotic manipulator is considered as an illustrative example.},
     title = {{Closed-Loop Stability and Performance Optimization in LPV Control Based on a Reduced Parameter Set}},
     pages = {5146--5151},
     year = {2012},
     booktitle = {Proc. 51st IEEE Conf. Decision Control}
    }