Selection of kinematic requirements for RFPT-based adaptive anaesthesia control

Bertalan Csanádi, J. Tar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The automatic control of the level of hypnosis is a significant part of anaesthesia during surgical operations. The prevalent patient models consist of a four variable set of ordinary differential equations with a driving term, the Propofol infusion rate. One of the directly observable quantities is the Bispectral Index that is related to one of the state variables by a nonlinear function with patient-dependent parameters that have quite significant interpatient variability and normally cannot be known in advance. Furthermore, this index can suffer abrupt variations during the surgical operations. This fact makes the application of classical control approaches difficult because they operate with state feedback gains and state observers. The significant model uncertainties need either robust or adaptive solutions. A novel alternative of the Lyapunov function based adaptive control design, i.e. the Robust Fixed Point Transformation (RFPT)-based adaptive control can solve such problems by replacing the complicated state space model with a simple affine function instead of the use of state observers. This method strictly separates the kinetic and dynamic aspects of the controlled motion so allows arbitrary kinetic prescription for the tracking error relaxation. Via numerical (in silico) simulations it is shown how the four investigated plausible kinetic options (namely the PD-type, PID-type, Error Metrics-based PD-type, and Error Metrics-based PID-type prescribed tracking error relaxation) concern the quality of the control. It is found that two different options, the PD-type and the PID-type ones, have almost equally good results while the other ones seem to be less efficient.

Original languageEnglish
Title of host publicationSACI 2016 - 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages181-186
Number of pages6
ISBN (Electronic)9781509023790
DOIs
Publication statusPublished - Jul 7 2016
Event11th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2016 - Timisoara
Duration: May 12 2016May 14 2016

Other

Other11th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2016
CityTimisoara
Period5/12/165/14/16

Fingerprint

Anesthesia
Biomechanical Phenomena
Kinematics
Fixed point
State Observer
Kinetics
Requirements
Adaptive Control
Space Simulation
Hypnosis
Propofol
Metric
Quality Control
Computer Simulation
Affine Function
Adaptive Design
Uncertainty
Prescriptions
Automatic Control
Model Uncertainty

Keywords

  • Adaptive Control
  • Anaesthesia Models
  • Bispectral Index (BIS)
  • Propofol Administration
  • Robust Fixed Point Transformation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Control and Optimization
  • Health Informatics

Cite this

Csanádi, B., & Tar, J. (2016). Selection of kinematic requirements for RFPT-based adaptive anaesthesia control. In SACI 2016 - 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings (pp. 181-186). [7507365] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SACI.2016.7507365

Selection of kinematic requirements for RFPT-based adaptive anaesthesia control. / Csanádi, Bertalan; Tar, J.

SACI 2016 - 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 181-186 7507365.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Csanádi, B & Tar, J 2016, Selection of kinematic requirements for RFPT-based adaptive anaesthesia control. in SACI 2016 - 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings., 7507365, Institute of Electrical and Electronics Engineers Inc., pp. 181-186, 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2016, Timisoara, 5/12/16. https://doi.org/10.1109/SACI.2016.7507365
Csanádi B, Tar J. Selection of kinematic requirements for RFPT-based adaptive anaesthesia control. In SACI 2016 - 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 181-186. 7507365 https://doi.org/10.1109/SACI.2016.7507365
Csanádi, Bertalan ; Tar, J. / Selection of kinematic requirements for RFPT-based adaptive anaesthesia control. SACI 2016 - 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 181-186
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