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  • 1. Almeida, Juliana
    et al.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Rocha, Paula
    A compartmental model-based control strategy for NeuroMuscular Blockade level2011In: Proc. 18th IFAC World Congress, International Federation of Automatic Control , 2011, p. 599-604Conference paper (Refereed)
  • 2. Almeida, Juliana
    et al.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Contributions to the initialization of online identification algorithms for anæsthesia: the NeuroMuscular Blockade case study2010In: Proc. 18th Mediterranean Conference on Control and Automation, Piscataway, NJ: IEEE , 2010, p. 1341-1346Conference paper (Refereed)
  • 3.
    Caiado, Daniela V.
    et al.
    IST/INESC-ID.
    Lemos, Joao M.
    IST/INESC-ID, Lisbon, Portugal.
    Costa, Bertinho A.
    IST/INESC-ID, Lisbon, Portugal.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Departamento de Matematica, Faculdade de Ciencias, Universidade do Porto, Porto, Portugal.
    Design of depth of anesthesia controllers in the presence of model uncertainty2013In: Proc. 21st Mediterranean Conference on Control and Automation, 2013, p. 213-218Conference paper (Refereed)
  • 4.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Prediction error identification of minimally parameterized Wiener models in anesthesia2011In: Proc. 18th IFAC World Congress, International Federation of Automatic Control , 2011, p. 5615-5620Conference paper (Refereed)
  • 5.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    System identification and control for general anesthesia based on parsimonious Wiener models2012Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    The effect of anesthetics in the human body is usually described by Wiener models. The high number of patient-dependent parameters in the standard models, the poor excitatory pattern of the input signals (administered anesthetics) and the small amount of available input-output data make application of system identification strategies difficult.

    The idea behind this thesis is that, by reducing the number of parameters to describe the system, improved results may be achieved when system identification algorithms and control strategies based on those models are designed. The choice of the appropriate number of parameters matches the parsimony principle of system identification.

    The three first papers in this thesis present Wiener models with a reduced number of parameters for the neuromuscular blockade and the depth of anesthesia. Batch and recursive system identification algorithms are presented. Taking advantage of the small number of continuous time model parameters, adaptive controllers are proposed in the two last papers. The controller structure combines an inversion of the static nonlinearity of the Wiener model with a linear controller for the exactly linearized system, using the parameter estimates obtained recursively by an extended Kalman filter. The performance of the adaptive nonlinear controllers is tested in a database of realistic patients with good results.

  • 6.
    Martins da Silva, Margarida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Almeida, Juliana
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Merging PK/PD information in a minimally parameterized model of the NeuroMuscular Blockade2010In: Proc. 32nd International Conference of the IEEE Engineering in Medicine and Biology Society, Piscataway, NJ: IEEE , 2010, p. 4602-4605Conference paper (Refereed)
  • 7.
    Martins da Silva, Margarida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Lemos, João M.
    Coito, Ana
    Costa, Bertinho A.
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Local identifiability and sensitivity analysis of neuromuscular blockade and depth of hypnosis models2014In: Computer Methods and Programs in Biomedicine, ISSN 0169-2607, E-ISSN 1872-7565, Vol. 113, no 1, p. 23-36Article in journal (Refereed)
  • 8.
    Martins da Silva, Margarida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Medvedev, Alexander
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Modeling the effect of intravenous anesthetics: A path toward individualization2015In: IEEE Design & Test, ISSN 2168-2356, Vol. 32, no 5, p. 17-26Article in journal (Refereed)
  • 9.
    Martins da Silva, Margarida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Nonlinear adaptive control of the neuromuscular blockade in anesthesia2011In: Proc. 50th Conference on Decision and Control, Piscataway, NJ: IEEE , 2011, p. 41-46Conference paper (Refereed)
  • 10. Martins da Silva, Margarida
    et al.
    Mendonça, Teresa
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Online Nonlinear Identification of the Effect of Drugs in Anæsthesia using a Minimal Parameterization and BIS Measurements2010Report (Other academic)
  • 11. Martins da Silva, Margarida
    et al.
    Mendonça, Teresa
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Online nonlinear identification of the effect of drugs in anæsthesia using a minimal parameterization and BIS measurements2010In: Proc. American Control Conference: ACC 2010, American Automatic Control Council , 2010, p. 4379-4384Conference paper (Refereed)
  • 12.
    Martins da Silva, Margarida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Paz, Luis
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Performance of an adaptive controller for the neuromuscular blockade based on inversion of a Wiener model2015In: Asian journal of control, ISSN 1561-8625, E-ISSN 1561-8625, Vol. 17, no 4, p. 1136-1147Article in journal (Refereed)
  • 13.
    Martins da Silva, Margarida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Rabiço, Rui
    Mendonça, Teresa
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Control of rocuronium-induced neuromuscular blockade via online identification of a two-parameters Wiener model2012Conference paper (Refereed)
  • 14.
    Martins da Silva, Margarida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Adaptive control of propofol-induced hypnosis in anesthesia using a minimally parameterized Wiener model2012In: Proc. Reglermöte, 2012Conference paper (Other academic)
  • 15.
    Martins da Silva, Margarida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Medvedev, Alexander V.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Quantification of the multiplicative uncertainty in the linearized minimally parameterized parsimonious Wiener model for the neuromuscular blockade in closed-loop anesthesia2013In: Proc. 21st Mediterranean Conference on Control and Automation, Piscataway, NJ: IEEE , 2013, p. 703-708Conference paper (Refereed)
  • 16.
    Martins da Silva, Margarida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    A reduced MIMO Wiener model for recursive identification of the depth of anesthesia2014In: International journal of adaptive control and signal processing (Print), ISSN 0890-6327, E-ISSN 1099-1115, Vol. 28, no 12, p. 1357-1371Article in journal (Refereed)
  • 17.
    Martins da Silva, Margarida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Exactly linearizing adaptive control of propofol and remifentanil using a reduced Wiener model for the depth of anesthesia2012In: Proc. 51st Conference on Decision and Control, Piscataway, NJ: IEEE, 2012, p. 368-373Conference paper (Refereed)
  • 18.
    Martins da Silva, Margarida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Nonlinear identification of a minimal neuromuscular blockade model in anesthesia2012In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865, Vol. 20, no 1, p. 181-188Article in journal (Refereed)
  • 19. Martins da Silva, Margarida
    et al.
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Mendonça, Teresa
    Nonlinear identification of a minimal NeuroMuscular Blockade model in anæsthesia2009Report (Other academic)
  • 20.
    Mendonça, Teresa
    et al.
    Departamento de Matematica, Faculdade de Ciencias, Universidade do Porto, Porto, Portugal.
    Alonso, Hugo
    CIDMA, Center for Research and Developments in Mathematics and Applications, Aveiro, Portugal.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Esteves, Simao
    Centro Hospitalar do Porto, Hospital Geral de Santo Antonio, Porto, Portugal.
    Seabra, Manuel
    Unidade Local de Saude de Matosinhos, Matosinhos, Portugal.
    Comparing different identification approaches for the depth of anesthesia using BIS measurements2012In: Proc. 16th IFAC Symposium on System Identification, 2012, p. 781-785Conference paper (Refereed)
    Abstract [en]

    Depth of anesthesia is usually quantified by the Bispectral Index (BIS) and refers to both loss of consciousness, resulting from the administration of a hypnotic like propofol, and inhibition of pain, resulting from the administration of an analgesic like remifentanil. This paper addresses the mathematical modeling of the joint effect of propofol and remifentanil in the depth of anesthesia, using BIS measurements. Two models and identification strategies are considered. The first model is based on standard pharmacokinetic/pharmacodynamic models and the associated identification strategy corresponds to the application of a hybrid method. The second model has a minimal number of parameters and the associated identification strategy corresponds to the application of a prediction error method. These two approaches are tested and compared on real data.

  • 21. Mendonça, Teresa
    et al.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Wigren, Torbjörn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Jensen, Erik W.
    Gambús, Pedro
    Sedation-analgesia with propofol and remifentanil: new model for individualized BIS prediction2011In: Proc. American Society of Anesthesiologists Annual Meeting, 2011, article id A511Conference paper (Refereed)
  • 22.
    Paz, Luis
    et al.
    Departamento de Matematica, Faculdade de Ciencias, Universidade do Porto, Porto, Portugal.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Esteves, Simao
    Centro Hospitalar do Porto, Porto, Portugal.
    Mendonça, Teresa
    Departamento de Matematica, Faculdade de Ciencias, Universidade do Porto, Porto, Portugal.
    Self-calibrating total-mass controller for the neuromuscular blockade matching the anesthesiologists´ mindset2013In: Proc. 21st Mediterranean Conference on Control and Automation, 2013, p. 723-728Conference paper (Refereed)
  • 23.
    Rosén, Olov
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Medvedev, Alexander
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Nonlinear estimation of a parsimonious Wiener model for the neuromuscular blockade in closed-loop anesthesia2014In: Proc. 19th IFAC World Congress, International Federation of Automatic Control , 2014, p. 9258-9264Conference paper (Refereed)
  • 24.
    Sebastiao, Raquel
    et al.
    LIAAD-INESC TEC., Porto, Portugal.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Rabico, Rui
    Unidade Local de Saude de Matosinhos, Matosinhos, Portugal.
    Gama, Joao
    LIAAD-INESC TEC., Porto, Portugal.
    Mendonça, Teresa
    Departamento de Matematica, Faculdade de Ciencias, Universidade do Porto, Porto, Portugal.
    Online evaluation of a changes detection algorithm for depth of anesthesia signals2012In: Proc. 8th IFAC Symposium on Biological and Medical Systems, 2012, p. A-0076Conference paper (Refereed)
  • 25. Sebastião, Raquel
    et al.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Gama, João
    Mendonça, Teresa
    Contributions to a decision support system based on depth of anesthesia signals2012In: Proc. 25th International Symposium on Computer-Based Medical Systems, Piscataway, NJ: IEEE , 2012, p. 6-Conference paper (Refereed)
  • 26. Sebastião, Raquel
    et al.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Rabiço, Rui
    Gama, João
    Mendonça, Teresa
    Real-time algorithm for changes detection in depth of anesthesia signals2013In: Evolving Systems, ISSN 1868-6478, E-ISSN 1868-6486, Vol. 4, p. 3-12Article in journal (Refereed)
  • 27.
    Silva, Margarida M.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Nonlinear Modeling and Feedback Control of Drug Delivery in Anesthesia2014Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    General anesthesia is a drug-induced reversible state where neuromuscular blockade (NMB), hypnosis, and analgesia (jointly denoted by depth of anesthesia - DoA) are guaranteed. This thesis concerns mathematical modeling and feedback control of the effect of the muscle relaxants atracurium and rocuronium, the hypnotic propofol, and the analgesic remifentanil. It is motivated by the need to reduce incidences of awareness and overdose-related post-operative complications that occur in standard clinical practice. A major challenge for identification in closed-loop is the poor excitation provided by the feedback signal. This applies to the case of drugs administered in closed-loop. As a result, the standard models for the effect of anesthetics appear to be over-parameterized. This deteriorates the result of system identification and prevents individualized control.

    In the first part of the thesis, minimally parameterized models for the single-input single-output NMB and the multiple-input single-output DoA are developed, using real data. The models have a nonlinear Wiener structure: linear time-invariant dynamics cascaded with a static nonlinearity. The proposed models are shown to improve identifiability as compared to the standard ones.

    The second part of the thesis presents system identification methods for Wiener systems: a batch prediction error method, and two recursive techniques, one based on the extended Kalman filter, and another based on the particle filter. Algorithms are given for both the NMB and the DoA using the minimally parameterized models.

    Nonlinear adaptive controllers are proposed in the third part of the thesis. Using the model parameter estimates from the extended Kalman filter, the controller performs an online inversion of the Wiener nonlinearity. A pole-placement controller or a linear quadratic Gaussian controller is used for the linearized system. Results show good reference tracking performance both in simulation and in real trials.

    Relating to patient safety, the existence of undesirable sustained oscillations as consequence of Andronov-Hopf bifurcations for a NMB PID-controlled system is analyzed. Essentially the same bifurcations are observed in the standard and the minimally parameterized models, confirming the ability of the latter to predict the nonlinear behavior of the closed-loop system. Methods to design oscillation-free controllers are outlined.

    List of papers
    1. Nonlinear identification of a minimal neuromuscular blockade model in anesthesia
    Open this publication in new window or tab >>Nonlinear identification of a minimal neuromuscular blockade model in anesthesia
    2012 (English)In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865, Vol. 20, no 1, p. 181-188Article in journal (Refereed) Published
    National Category
    Control Engineering
    Identifiers
    urn:nbn:se:uu:diva-150539 (URN)10.1109/TCST.2011.2107742 (DOI)000302693700015 ()
    Available from: 2011-12-12 Created: 2011-03-31 Last updated: 2017-12-11Bibliographically approved
    2. Online nonlinear identification of the effect of drugs in anæsthesia using a minimal parameterization and BIS measurements
    Open this publication in new window or tab >>Online nonlinear identification of the effect of drugs in anæsthesia using a minimal parameterization and BIS measurements
    2010 (English)In: Proc. American Control Conference: ACC 2010, American Automatic Control Council , 2010, p. 4379-4384Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    American Automatic Control Council, 2010
    National Category
    Control Engineering Information Systems
    Identifiers
    urn:nbn:se:uu:diva-138747 (URN)978-1-4244-7426-4 (ISBN)
    Available from: 2010-07-29 Created: 2010-12-19 Last updated: 2018-01-12Bibliographically approved
    3. Nonlinear estimation of a parsimonious Wiener model for the neuromuscular blockade in closed-loop anesthesia
    Open this publication in new window or tab >>Nonlinear estimation of a parsimonious Wiener model for the neuromuscular blockade in closed-loop anesthesia
    2014 (English)In: Proc. 19th IFAC World Congress, International Federation of Automatic Control , 2014, p. 9258-9264Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    International Federation of Automatic Control, 2014
    National Category
    Control Engineering
    Identifiers
    urn:nbn:se:uu:diva-233194 (URN)10.3182/20140824-6-ZA-1003.01876 (DOI)978-3-902823-62-5 (ISBN)
    Available from: 2014-08-24 Created: 2014-09-30 Last updated: 2014-10-30Bibliographically approved
    4. Local identifiability and sensitivity analysis of neuromuscular blockade and depth of hypnosis models
    Open this publication in new window or tab >>Local identifiability and sensitivity analysis of neuromuscular blockade and depth of hypnosis models
    Show others...
    2014 (English)In: Computer Methods and Programs in Biomedicine, ISSN 0169-2607, E-ISSN 1872-7565, Vol. 113, no 1, p. 23-36Article in journal (Refereed) Published
    National Category
    Control Engineering
    Identifiers
    urn:nbn:se:uu:diva-207830 (URN)10.1016/j.cmpb.2013.07.020 (DOI)000327180900003 ()
    Available from: 2013-08-28 Created: 2013-09-19 Last updated: 2017-12-06Bibliographically approved
    5. Nonlinear adaptive control of the neuromuscular blockade in anesthesia
    Open this publication in new window or tab >>Nonlinear adaptive control of the neuromuscular blockade in anesthesia
    2011 (English)In: Proc. 50th Conference on Decision and Control, Piscataway, NJ: IEEE , 2011, p. 41-46Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    Piscataway, NJ: IEEE, 2011
    National Category
    Control Engineering
    Identifiers
    urn:nbn:se:uu:diva-165454 (URN)10.1109/CDC.2011.6160227 (DOI)978-1-61284-800-6 (ISBN)
    Available from: 2012-03-01 Created: 2012-01-08 Last updated: 2014-10-30Bibliographically approved
    6. Exactly linearizing adaptive control of propofol and remifentanil using a reduced Wiener model for the depth of anesthesia
    Open this publication in new window or tab >>Exactly linearizing adaptive control of propofol and remifentanil using a reduced Wiener model for the depth of anesthesia
    2012 (English)In: Proc. 51st Conference on Decision and Control, Piscataway, NJ: IEEE, 2012, p. 368-373Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    Piscataway, NJ: IEEE, 2012
    National Category
    Control Engineering
    Identifiers
    urn:nbn:se:uu:diva-185426 (URN)10.1109/CDC.2012.6425924 (DOI)000327200400061 ()978-1-4673-2065-8 (ISBN)
    Conference
    CDC 2012, December 10–13, Maui, HI
    Available from: 2013-02-04 Created: 2012-11-23 Last updated: 2017-08-10Bibliographically approved
    7. Performance of an adaptive controller for the neuromuscular blockade based on inversion of a Wiener model
    Open this publication in new window or tab >>Performance of an adaptive controller for the neuromuscular blockade based on inversion of a Wiener model
    2015 (English)In: Asian journal of control, ISSN 1561-8625, E-ISSN 1561-8625, Vol. 17, no 4, p. 1136-1147Article in journal (Refereed) Published
    National Category
    Control Engineering
    Identifiers
    urn:nbn:se:uu:diva-233197 (URN)10.1002/asjc.981 (DOI)000357974700003 ()
    Funder
    EU, European Research Council, 247035
    Available from: 2014-09-10 Created: 2014-09-30 Last updated: 2017-12-05Bibliographically approved
    8. Bifurcation analysis of PID-controlled neuromuscular blockade in closed-loop anesthesia
    Open this publication in new window or tab >>Bifurcation analysis of PID-controlled neuromuscular blockade in closed-loop anesthesia
    2015 (English)In: Journal of Process Control, ISSN 0959-1524, E-ISSN 1873-2771, Vol. 25, p. 152-163Article in journal (Refereed) Published
    National Category
    Control Engineering
    Identifiers
    urn:nbn:se:uu:diva-233201 (URN)10.1016/j.jprocont.2014.10.006 (DOI)000348962000015 ()
    Funder
    EU, European Research Council, 247035
    Available from: 2014-11-13 Created: 2014-09-30 Last updated: 2017-12-05Bibliographically approved
  • 28. Zhusubaliyev, Zhanybai T.
    et al.
    Medvedev, Alexander
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Bifurcation analysis for PID-controller tuning based on a minimal neuromuscular blockade model in closed-loop anesthesia2013In: Proc. 52nd Conference on Decision and Control, Piscataway, NJ: IEEE , 2013, p. 115-120Conference paper (Refereed)
  • 29. Zhusubaliyev, Zhanybai T.
    et al.
    Medvedev, Alexander
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Martins da Silva, Margarida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Bifurcation analysis of PID-controlled neuromuscular blockade in closed-loop anesthesia2015In: Journal of Process Control, ISSN 0959-1524, E-ISSN 1873-2771, Vol. 25, p. 152-163Article in journal (Refereed)
1 - 29 of 29
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