Experimental design and identifiability for non-linear systems

DOI10.1080/00207728708963958zbMath0619.93066OpenAlexW2091874430MaRDI QIDQ3757794

I. J. Leontaritis, Stephen A. Billings

Publication date: 1987

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207728708963958

zbMATH Keywords

design of experimentsnonlinear systemsidentifiabilityclose-loop operationPRBS inputs

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12)

Related Items (8)

A modified orthogonal forward regression least-squares algorithm for system modelling from noisy regressors ⋮ Dynamical effects of overparametrization in nonlinear models ⋮ Noniterative tensor network‐based algorithm for Volterra system identification ⋮ Nonlinear channel equalizer design using directional evolutionary multi-objective optimization ⋮ Fuzzy model-based predictive control by instantaneous linearization ⋮ Input design for structured nonlinear system identification ⋮ Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach ⋮ An identification algorithm for polynomial NARX models based on simulation error minimization

Cites Work

• Dynamic system identification. Experiment design and data analysis
• Identification of systems containing linear dynamic and static nonlinear elements
• Identification of processes in closed loop-identifiability and accuracy aspects
• Identification of linear, multivariable systems operating under linear feedback control
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