Adaptive predictive control: a data-driven closed-loop subspace identification approach

DOI10.1155/2014/869879zbMath1406.93169OpenAlexW2038067896WikidataQ59042184 ScholiaQ59042184MaRDI QIDQ1725169

Yong-Duan Song, Xiao-Suo Luo

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/869879

zbMATH Keywords

adaptive predictive controlclosed-loop subspace identification

Mathematics Subject Classification ID

System identification (93B30) Adaptive control/observation systems (93C40)

Related Items (2)

State space black-box modelling via Markov parameters based on evolving type-2 neural-fuzzy inference system for nonlinear multivariable dynamic systems ⋮ Data-driven subspace predictive control: stability and horizon tuning

Cites Work

• Unnamed Item
• Adaptive model predictive control for a class of constrained linear systems based on the comparison model
• Fuzzy PID controller: Design, performance evaluation, and stability analysis
• Towards online model predictive control on a programmable logic controller: practical considerations
• Subspace based direct adaptive ?? control
• Data-driven monitoring for stochastic systems and its application on batch process

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