An algorithm for bounded-error identification of nonlinear systems based on DC functions

DOI10.1016/j.automatica.2007.05.026zbMath1283.93086OpenAlexW2118821364MaRDI QIDQ2440614

Teodoro Alamo, Eduardo Fernández Camacho, José M. Bravo, Maria Julia Redondo

Publication date: 19 March 2014

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2007.05.026

zbMATH Keywords

nonlinear identificationset-membership identification

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10)

Related Items

A generalization of the classical \(\alpha \)BB convex underestimation via diagonal and nondiagonal quadratic terms, Data-driven bounded-error fault detection, Fault detection method based on bounded error and dynamic threshold techniques, Adaptive sensor and actuator fault estimation for a class of uncertain Lipschitz nonlinear systems

Uses Software

• INTLAB
• ACCPM

Cites Work

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• Identification of parametric models from experimental data. Transl. from an upd. French version by the authors, with the help of John Norton
• Estimation theory for nonlinear models and set membership uncertainty
• Parameter estimation algorithms for a set-membership description of uncertainty
• Cutting planes and column generation techniques with the projective algorithm
• On the value of information in system identification-bounded noise case
• Set inversion via interval analysis for nonlinear bounded-error estimation
• Guaranteed parameter bounding for nonlinear models with uncertain experimental factors
• An optimal bound for d. c. programs with convex constraints
• Set membership identification of nonlinear systems
• Deterministic global optimization. Theory, methods and applications
• DC programming: overview.
• Exact recursive polyhedral description of the feasible parameter set for bounded-error models
• Estimation theory and uncertainty intervals evaluation in presence of unknown but bounded errors: Linear families of models and estimators
• Sequential approximation of feasible parameter sets for identification with set membership uncertainty
• Bounded Error Identification of Systems With Time-Varying Parameters
• Interval constraint propagation with application to bounded-error estimation