Maximum-power validation of models without higher-order fitting

DOI10.1016/0005-1098(78)90018-3zbMath0378.93046OpenAlexW2060472901MaRDI QIDQ1247398

Torsten Bohlin

Publication date: 1978

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(78)90018-3

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Model systems in control theory (93C99)

Related Items (14)

A test of homogeneity for autoregressive processes ⋮ Recursive hybrid algorithm for non-linear system identification using radial basis function networks ⋮ Non-linear system identification using neural networks ⋮ Non-linear systems identification using radial basis functions ⋮ Maximum likelihood and prediction error methods ⋮ Experiment design for maximum-power model validation ⋮ MODEL VALIDATION OF SPATIOTEMPORAL SYSTEMS USING CORRELATION FUNCTION TESTS ⋮ Development of omni-directional correlation functions for nonlinear model validation ⋮ Identification of non-linear rational systems using a prediction-error estimation algorithm ⋮ A correlation test-based validity monitoring procedure for online detecting the quality of nonlinear adaptive noise cancellation ⋮ Model validity tests for non-linear signal processing applications ⋮ Extended model set, global data and threshold model identification of severely non-linear systems ⋮ A set of novel correlation tests for nonlinear system variables ⋮ A case study of Grey Box identification

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