On the practical estimation of unknown inputs for polytopic LTI systems
- Author(s): Ixbalank Torres Zúñiga 1, 2 ; Alejandro Vargas 1 ; Jaime A. Moreno 3
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View affiliations
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Affiliations:
1:
Laboratory for Research on Advanced Processes for Water Treatment, Unidad Académica Juriquilla, Instituto de Ingeniería, Universidad Nacional Autónoma de México , Blvd. Juriquilla 3001, 76230 Querétaro , Mexico ;
2: C. A. Telemática, División de Ingenierías del campus Irapuato - Salamanca, Universidad de Guanajuato, Carretera Salamanca - Valle de Santiago Km. 3.5 + 1.8 Comunidad de Palo Blanco, 36885 Salamanca , Mexico ;
3: Eléctrica y Computación, Instituto de Ingeniería, Universidad Nacional Autónoma de México , Av. Universidad 3000, 04510 Coyoacán México , Mexico
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Affiliations:
1:
Laboratory for Research on Advanced Processes for Water Treatment, Unidad Académica Juriquilla, Instituto de Ingeniería, Universidad Nacional Autónoma de México , Blvd. Juriquilla 3001, 76230 Querétaro , Mexico ;
- Source:
Volume 12, Issue 4,
06
March
2018,
p.
466 – 476
DOI: 10.1049/iet-cta.2017.0856 , Print ISSN 1751-8644, Online ISSN 1751-8652
Reconstruction of unknown inputs is an important issue in real-time monitoring when they cannot be directly measured. This study proposes a coupled robust observer to estimate both the state vector and the unknown input of uncertain linear and time invariant (LTI) systems. A Luenberger observer is first considered to estimate the state vector and then, a super-twisting observer uses the precedent estimations to reconstruct the unknown input. Two semi-definite optimisation problems are proposed to compute the observer gains. The feasibility of the strategy is illustrated by the two examples, one of them a non-linear biological system.
Inspec keywords: uncertain systems; observers; linear systems; robust control
Other keywords: real-time monitoring; Luenberger observer; super-twisting observer; unknown input reconstruction; unknown input estimation; uncertain linear systems; coupled robust observer; nonlinear biological system; time invariant systems; state vector estimation; semidefinite optimisation problems; polytopic LTI systems
Subjects: Stability in control theory; Linear control systems; Simulation, modelling and identification
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