Estimation theory for nonlinear models and set membership uncertainty

DOI10.1016/0005-1098(91)90090-OzbMath0729.93074OpenAlexW1998373528MaRDI QIDQ807565

Antonio Vicino, Mario Milanese

Publication date: 1991

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(91)90090-o

zbMATH Keywords

parameter estimation of exponential models

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10)

Related Items

Simulation of discrete linear time-invariant fuzzy dynamic systems ⋮ Minimum-volume ellipsoids containing compact sets: Application to parameter bounding ⋮ Estimation of model quality ⋮ A linear programming approach to online set membership parameter estimation for linear regression models ⋮ Distributed set-based observers using diffusion strategies ⋮ An algorithm for bounded-error identification of nonlinear systems based on DC functions ⋮ Determination of set-membership identifiability sets ⋮ Optimal estimation theory for dynamic systems with set membership uncertainty: An overview ⋮ Interval constraint propagation with application to bounded-error estimation ⋮ Finite-horizon optimal control with pointwise cost functional ⋮ A branch and bound algorithm for numerical Max-CSP ⋮ Reliable nonlinear state estimation involving time uncertainties ⋮ Set inversion via interval analysis for nonlinear bounded-error estimation ⋮ Nonlinear set-membership estimation: A support vector machine approach ⋮ Unnamed Item ⋮ Infinite-horizon minimax control with pointwise cost functional ⋮ Guaranteed non-linear estimation using constraint propagation on sets

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Identification and application of bounded-parameter models
• Constrained global optimization: algorithms and applications
• Optimality of central and projection algorithms for bounded uncertainty
• Reformulation of parameter identification with unknown-but-bounded errors
• Optimal algorithms theory for robust estimation and prediction
• Geometric Programming: Methods, Computations and Applications
• Estimation theory and uncertainty intervals evaluation in presence of unknown but bounded errors: Linear families of models and estimators
• Lagrange Multipliers and Nonconvex Programs
• An Algorithm for Separable Nonconvex Programming Problems II: Nonconvex Constraints