An approach to multivariable system identification
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Publication:1238765
DOI10.1016/0005-1098(77)90024-3zbMath0358.93009OpenAlexW2285530319MaRDI QIDQ1238765
Publication date: 1977
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(77)90024-3
Related Items (8)
Physically based parameterizations for designing adaptive algorithms ⋮ Frequency domain conditions for parameter convergence in multivariable recursive identification ⋮ Identification of physical parameters in structured systems ⋮ Parameter estimation for continuous-time models - a survey ⋮ Exponential convergence of adaptive identification and control algorithms ⋮ On the recursive identification of multi-input, multi-output systems ⋮ Some aspects of recursive parameter estimation ⋮ On the convergence of a model reference adaptive control algorithm with unknown high frequency gain
Cites Work
- Canonical structures in the identification of multivariable systems
- A survey of model reference adaptive techniques - theory and applications
- System identification. A survey
- Stable Adaptive Schemes for System Identification and Control-Part I
- Synthesis of an adaptive observer using Lyapunov's direct method
- Exponential stability of linear equations arising in adaptive identification
- Adaptive observers with exponential rate of convergence
- Applications of the Multivariable Popov Criterion†
- A canonical model for identification of multivariable linear systems
- An adaptive observer and identifier for a linear system
- An adaptive observer for single-input single-output linear systems
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