 Unknown input observer based robust control for fuzzy descriptor systems subject to actuator saturationK. Houda, D. Saifia, M. Chadli and S. Labiod Mathematics and Computers in Simulation (MATCOM), 2023, vol. 203, issue C, 150-173 Abstract: For the stabilization problem of non linear system, a new control based on unknown input observer (UIO) is proposed to consider unknown inputs and actuators saturation. The proposed control method consists of designing an H∞ control for nonlinear systems based on TS fuzzy systems subject to unknown inputs and actuators saturation using the idea of UIO. To estimate state variables and unknown inputs, the unknown input observer is investigated. The saturation effect is considered through the polytopic representation. The descriptor representation is used to derive the new robust stabilization conditions of closed-loop system with unknown and constraints inputs. Both the UIO and controller gains are formulated as an optimization problem, which is expressed under Linear Matrix Inequalities (LMI). Simulations results are given to show the effectiveness of the proposed method. Keywords: Unknown input observer (UIO); Unknown inputs (UIs); Nonlinear systems; Takagi–Sugeno (TS) fuzzy model; Actuator saturation; Linear matrix inequalities (LMIs) (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:203:y:2023:i:c:p:150-173 DOI: 10.1016/j.matcom.2022.06.013 Access Statistics for this article Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier |
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