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Tube-based Guaranteed Cost Robust Model Predictive Control for Linear Systems Subject to Parametric Uncertainties

2020/12/09 by Carlos Massera Filho, Massera, Carlos M., Marco H. Terra +3
Engineering · #Advanced Control Systems Optimization #Control Systems and Identification #FOS: Electrical engineering #FOS: Mathematics #Fault Detection and Control Systems #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2012.05349

openalex publication_date 2020/12/09 · openalex created_date 2020/12/21 · openalex updated_date 2026/07/28

Abstract

We propose a tube-based guaranteed cost model predictive controller considering a homothetic formulation for constrained linear systems subject to multiplicative structured norm-bounded uncertainties. It provides an upper bound to the general min-max model predictive control. The invariance property of the proposed tube holds for any arbitrary scaling. It yields a second-order cone programming problem which is less computationally expensive than standard semi-definite programming problems. We also present a numerical example with a comparative study among the proposed approach, an open-loop guaranteed cost model predictive controller, and a homothetic tube model predictive controller for linear difference inclusion systems.

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