Novel LPV-based Control Approach for Nonlinear Physiological Systems
Author(s) -
György Eigner
Publication year - 2017
Publication title -
acta polytechnica hungarica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 34
eISSN - 2064-2687
pISSN - 1785-8860
DOI - 10.12700/aph.14.1.2017.1.4
Subject(s) - nonlinear system , control theory (sociology) , control (management) , computer science , control engineering , engineering , artificial intelligence , physics , quantum mechanics
The current paper introduces a novel controller design approach dealing with the control of affine Linear Parameter Varying (LPV) systems using the abstract mathematical properties of the LPV parameter space and classical state-feedback design. By the designed controller structure the parameter dependent LPV system mimics a given selected reference LTI system reaching given performance specifications originally prescribed for the reference LTI system. Further, the actual feedback gains are calculated by comparison to the reference control gains - thus, realizing a "relative control". The method is demonstrated on given nonlinear biomedical problems with simulation results under MATLAB.
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