2021 23rd International Conference on Process Control (PC) 2021
DOI: 10.1109/pc52310.2021.9447505
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Control of Discrete-Time State-Multiplicative Systems with Polytopic Region of Uncertainty

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“…Using the concept related to an interval system of equations or inequalities (Moore et al, 2009), then interval observers can be designed for uncertain linear systems, providing intervals to which estimated states are belonging at the evolution time (Gouzé et al, 2000), and specifically in the presence of nonstationary disturbances and uncertainties (Bolajraf et al (2011); Mazenc and Bernard (2011); Raissi and Efimov (2018)). Unfortunately, the interval representation of the single actuator fault as a loss of gain must be interpreted as a system with polytopic region of uncertainty and the related methods (Prempain and Postlethwaite (2007); Krokavec and Filasová (2021b)) have to be applied with explicit constraint representation in the form of LMIs for this problem.…”
Section: Introductionmentioning
confidence: 99%
“…Using the concept related to an interval system of equations or inequalities (Moore et al, 2009), then interval observers can be designed for uncertain linear systems, providing intervals to which estimated states are belonging at the evolution time (Gouzé et al, 2000), and specifically in the presence of nonstationary disturbances and uncertainties (Bolajraf et al (2011); Mazenc and Bernard (2011); Raissi and Efimov (2018)). Unfortunately, the interval representation of the single actuator fault as a loss of gain must be interpreted as a system with polytopic region of uncertainty and the related methods (Prempain and Postlethwaite (2007); Krokavec and Filasová (2021b)) have to be applied with explicit constraint representation in the form of LMIs for this problem.…”
Section: Introductionmentioning
confidence: 99%