Globally convergent adaptive pole assignment for a class of non-minimum-phase stochastic systems

DOI10.1080/00207178708933846zbMath0631.93039OpenAlexW2035410174WikidataQ126244260 ScholiaQ126244260MaRDI QIDQ3768766

Marion A. Hersh, Martin B. Zarrop

Publication date: 1987

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207178708933846

zbMATH Keywords

global stabilityexplicit algorithmsystem identifiabilityself-tuning regulation

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Pole and zero placement problems (93B55) Identification in stochastic control theory (93E12)

Related Items (1)

Extended LQG self-tuning controller in a mixed background

Cites Work

• Unnamed Item
• A globally convergent adaptive pole placement algorithm without a persistency of excitation requirement
• Reduced-variance pole-assignment self-tuning regulation
• Robustness of discrete-time direct adaptive controllers
• Counterexamples to general convergence of a commonly used recursive identification method

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