Worst-case identification of nonlinear fading memory systems
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Publication:1893013
DOI10.1016/0005-1098(94)00131-2zbMath0825.93115OpenAlexW2117364717MaRDI QIDQ1893013
John N. Tsitsiklis, Munther A. Dahleh, Eduardo D. Sontag, David N. C. Tse
Publication date: 28 November 1995
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(94)00131-2
Sensitivity (robustness) (93B35) System identification (93B30) Nonlinear systems in control theory (93C10) Perturbations in control/observation systems (93C73) Spline approximation (41A15)
Related Items (4)
Rational wavelets in Wiener-like modeling ⋮ Set membership inversion and robust control from data of nonlinear systems ⋮ Adaptive memory in multi-model switching control of uncertain plants ⋮ Fading memory and stability.
Cites Work
- Optimal experiment design for dynamic system identification
- Robust convergence of two-stage nonlinear algorithms for identification in \({\mathcal H}_ \infty\)
- Worst case system identification in \(\ell{}_ 1\): Optimal algorithms and error bounds
- Controller design for plants with structured uncertainty
- The sample complexity of worst-case identification of FIR linear systems
- Analysis of linear methods for robust identification in \(\ell_ 1\)
- Optimal asymptotic identification under bounded disturbances
- Fading memory and the problem of approximating nonlinear operators with Volterra series
- Robust identification and Galois sequences
- Control oriented system identification: a worst-case/deterministic approach in H/sub infinity /
- Linear and nonlinear algorithms for identification in H/sub infinity / with error bounds
- Optimal input signals for parameter estimation in dynamic systems--Survey and new results
- On the metric complexity of casual linear systems: ε -Entropy and ε -Dimension for continuous time
- On the time complexity of worst-case system identification
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