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» Optimal controller tuning for nonlinear processes
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CDC
2010
IEEE
226views Control Systems» more  CDC 2010»
13 years 2 months ago
Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization
In this paper we study the constrained consensus problem, i.e. the problem of reaching a common point from the estimates generated by multiple agents that are constrained to lie in...
Ion Necoara, Ioan Dumitrache, Johan A. K. Suykens
GECCO
2004
Springer
183views Optimization» more  GECCO 2004»
14 years 28 days ago
A Novel Immune Feedback Control Algorithm and Its Applications
This paper first analyzes the feedback principle of nature immune system and then the immune process is imitated by virtue of nonlinear molecular dynamics. Then the mathematic mode...
Zhen-qiang Qi, Shen-min Song, Zhao-hua Yang, Guang...
NIPS
2008
13 years 9 months ago
Optimization on a Budget: A Reinforcement Learning Approach
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
Paul Ruvolo, Ian R. Fasel, Javier R. Movellan
WINET
2002
124views more  WINET 2002»
13 years 7 months ago
Improving Energy Efficiency of Centrally Controlled Wireless Data Networks
Wireless network access protocols can assist nodes to conserve energy by identifying when they can enter low energy states. The goal is to put all nodes not involved in a transmiss...
John A. Stine, Gustavo de Veciana
NIPS
2008
13 years 9 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...