State and unknown inputs estimation for Takagi-Sugeno systems with immeasurable premise variables: proportional multiple integral observer design

DOI10.1016/J.MATCOM.2018.05.013OpenAlexW2805344644WikidataQ129758672 ScholiaQ129758672MaRDI QIDQ1997839

Lamia Ouhib

Publication date: 6 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2018.05.013

zbMATH Keywords

linear matrix inequality (LMI)Takagi-Sugeno systemsimmeasurable premise variableLipschitz approachproportional multiple integral (PMI) observer

Mathematics Subject Classification ID

Model systems in control theory (93Cxx) Stability of control systems (93Dxx) Controllability, observability, and system structure (93Bxx)

Related Items (3)

Proportional observer design based on \(\mathcal{D}\)-stability and Finsler's lemma for Takagi-Sugeno systems ⋮ Robust \((Q,S,R)-\alpha\)-dissipative event-triggered sliding mode control of discrete T-S fuzzy descriptor systems with partial unmeasurable premise variables ⋮ Proportional multi-integral observer design for Takagi-Sugeno systems with unmeasurable premise variables: conservatism reduction via polyquadratic Lyapunov function

Cites Work

• State and unknown input estimation for discrete time multiple model
• Adaptive fuzzy control of a class of SISO nonaffine nonlinear systems
• \(H_\infty\) filtering for fuzzy systems with immeasurable premise variables: an uncertain system approach
• Linear Matrix Inequalities in System and Control Theory

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