Convergence of control performance by unfalsification of models?levels of confidence

DOI10.1002/acs.685zbMath0988.93040OpenAlexW2094471475MaRDI QIDQ2763362

Sandor M. Veres

Publication date: 5 July 2002

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.685

zbMATH Keywords

modelingadaptive controlmodel validation

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Adaptive control/observation systems (93C40)

Related Items

From experiment design to closed-loop control

Uses Software

• Matlab
• Control System Toolbox
• Robust Control Toolbox
• Optimization Toolbox

Cites Work

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• For model-based control design, closed-loop identification gives better performance
• Frequency domain uncertainty and the graph topology
• A time-domain approach to model validation
• The unfalsified control concept and learning
• Iterative identification and control redesign via unfalsified sets of models: A basic scheme
• Self-tuning control by model unfalsification (Part I)
• Self-tuning control by model unfalsification (Part II)