On the recursive identification of multi-input, multi-output systems

DOI10.1016/0005-1098(78)90050-XzbMath0396.93022OpenAlexW2412860820MaRDI QIDQ1253633

K. Appert

Publication date: 1978

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(78)90050-x

zbMATH Keywords

IdentificationAdaptive SystemsChemical IndustryMultivariable SystemsRecursive Functions

Mathematics Subject Classification ID

Related Items (8)

Optimal instrumental-variable methods for identification of multivariable linear systems ⋮ Adaptive decouplers for multivariable systems: input dynamics compensation and output feedback approaches ⋮ Recursive identification of multi-variable interconnected systems ⋮ A new adaptive identification framework for nonlinear multi-input multi-output systems under colored noise ⋮ On line structure selection for multivariable state-space models ⋮ Choice of models for on-line identification of MIMO stochastic systems ⋮ Hierarchical gradient-based identification of multivariable discrete-time systems ⋮ Identification of MIMO time-varying stochastic systems with unknown dead times

Cites Work

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• Canonical structures in the identification of multivariable systems
• An approach to multivariable system identification
• Canonical forms for the identification of multivariable linear systems
• Stable adaptive schemes for state estimation and identification of linear systems
• Unbiased recursive identification using model reference adaptive techniques
• On positive real transfer functions and the convergence of some recursive schemes
• Invariant Description of Linear, Time-Invariant Controllable Systems

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