Fuzzy instrumental variable approach for nonlinear discrete-time systems identification in a noisy environment
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Publication:1037876
DOI10.1016/j.fss.2008.06.020zbMath1175.93230OpenAlexW2063128590MaRDI QIDQ1037876
G. L. O. Serra, Celso Pascoli Bottura
Publication date: 17 November 2009
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2008.06.020
Fuzzy control/observation systems (93C42) Application models in control theory (93C95) Discrete-time control/observation systems (93C55) Identification in stochastic control theory (93E12)
Related Items (3)
Recursive fuzzy instrumental variable based evolving neuro-fuzzy identification for non-stationary dynamic system in a noisy environment ⋮ Fuzzy instrumental variable approach for nonlinear discrete-time systems identification in a noisy environment ⋮ Fuzzy methodology for frequency response estimation of uncertain dynamic systems
Uses Software
Cites Work
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- On covariance function tests used in system identification
- Fuzzy instrumental variable approach for nonlinear discrete-time systems identification in a noisy environment
- Instrumental variable methods for system identification
- A GA-based fuzzy modeling approach for generating TSK models
- Observer-based robust fuzzy control of nonlinear systems with parametric uncertainties
- A fuzzy flight controller combining linguistic and model-based fuzzy control
- Nonlinear black-box modeling in system identification: A unified overview
- Fuzzy identification of systems and its applications to modeling and control
- Design considerations for active noise control systems implementing the multiple input, multiple output lms algorithm
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