Dynamic power saving via least-square self-tuning regulator in the virtualized computing systems

DOI10.1007/S11424-014-2118-9zbMath1310.93057OpenAlexW1997570871MaRDI QIDQ2341606

Chengjian Wen, Yifen Mu, Xiang Long

Publication date: 27 April 2015

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-014-2118-9

zbMATH Keywords

adaptive controlpower savingperformance constraintgreen computingleast square self-tuning regulator (LS-STR)

Mathematics Subject Classification ID

Application models in control theory (93C95) Adaptive control/observation systems (93C40)

Cites Work

• Unnamed Item
• Theory and applications of adaptive control - a survey
• Convergence and logarithm laws of self-tuning regulators
• On self tuning regulators
• Convergence of adaptive control schemes using least-squares parameter estimates
• Decentralized Adaptive Synchronization of a Stochastic Discrete-Time Multiagent Dynamic Model
• Finite-model adaptive control using an LS-like algorithm
• The AAstrom-Wittenmark self-tuning regulator revisited and ELS-based adaptive trackers
• Further Results on Least Squares Based Adaptive Minimum Variance Control
• Self-convergence of weighted least-squares with applications to stochastic adaptive control
• Adaptive switching control of discrete time nonlinear systems based on multiple models

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