Fuzzy-model-based hybrid predictive control
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Updated: Jun 27, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
Published on: October 28, 2022
Alfredo Núñez1, Doris Sáez, Simon Oblak
1Electrical Engineering Department, University of Chile, Santiago, Chile. alfnunez@ing.uchile.cl
Abstract:
In this paper we present a method of hybrid predictive control (HPC) based on a fuzzy model. The identification methodology for a nonlinear system with discrete state-space variables based on combining fuzzy clustering and principal component analysis is proposed. The fuzzy model is used for HPC design, where the optimization problem is solved by the use of genetic algorithms (GAs). An illustrative experiment on a hybrid tank system is conducted to demonstrate the benefits of the proposed approach.
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