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An LMI-based heuristic algorithm for vertex reduction in LPV systems

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The linear parameter varying (LPV) approach has proved to be suitable for controlling many non-linear systems. However, for those which are highly non-linear and complex, the number of scheduling variables increases rapidly. This fact makes the LPV controller implementation not feasible for many real systems due to memory constraints and computational burden. This paper considers the problem of reducing the total number of LPV controller gains by determining a heuristic methodology that combines two vertices of a polytopic LPV model such that the same gain can be used in both vertices. The proposed algorithm, based on the use of the Gershgorin circles, provides a combinability ranking for the different vertex pairs, which helps in solving the reduction problem in fewer attempts. Simulation examples are provided in order to illustrate the main characteristics of the proposed approach.
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Bibliogr. 44 poz., rys., tab., wykr.
  • Research Center for Supervision, Safety and Automatic Control (CS2AC), Polytechnic University of Catalonia (UPC), Rambla Sant Nebridi 10, 08222 Terrassa, Spain,
  • Research Center for Supervision, Safety and Automatic Control (CS2AC), Polytechnic University of Catalonia (UPC), Rambla Sant Nebridi 10, 08222 Terrassa, Spain; Institute of Robotics and Industrial Informatics (CSIC-UPC), Llorens i Artigas 4-6, 08028 Barcelona, Spain,
  • Research Center for Supervision, Safety and Automatic Control (CS2AC), Polytechnic University of Catalonia (UPC), Rambla Sant Nebridi 10, 08222 Terrassa, Spain,
  • Research Center for Supervision, Safety and Automatic Control (CS2AC), Polytechnic University of Catalonia (UPC), Rambla Sant Nebridi 10, 08222 Terrassa, Spain,
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Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
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