Fast interval estimation for discrete-time linear systems: an \(L_1\) optimization method

DOI10.1016/j.automatica.2021.110029zbMath1482.93356OpenAlexW3217675514MaRDI QIDQ2071926

Tarek Raïssi, Yi Shen, Thach Ngoc Dinh, Qing-Hua Zhang, Zhen-Hua Wang

Publication date: 31 January 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2021.110029

zbMATH Keywords

linear programmingzonotopeinterval estimationfixed-time convergence\(L_1\) optimization

Mathematics Subject Classification ID

Linear programming (90C05) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)

Related Items (7)

Fault detection based on adaptive interval observer and its application in aeroengine ⋮ A novel hybrid filter-based fault diagnosis algorithm for switched systems with a dual noise term ⋮ Real-time reachable set estimation for linear time-delay systems based on zonotopes ⋮ Fault detection for discrete-time fuzzy systems with measurement errors using interval observers ⋮ An integrated design method for active fault diagnosis and control ⋮ Interval estimation for discrete-time linear time-delay systems based on state augmentation ⋮ Zonotopic state bounding for 2-D systems with dynamic event-triggered mechanism

Cites Work

• Interval observers for linear time-invariant systems with disturbances
• A hybrid fixed-time observer for state estimation of linear systems
• Interval observer design for uncertain discrete-time linear systems
• A fixed-time observer for discrete-time singular systems with unknown inputs
• Fixed-time observer with simple gains for uncertain systems
• A new approach to design set-membership state estimators for discrete-time linear systems based on the observability matrix
• H/sub infinity / state estimation for linear periodic systems
• High gain observer based on a triangular structure
• A continuous-time observer which converges in finite time
• Interval State Estimation for a Class of Nonlinear Systems

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