Optimal online adaptive controller

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United States of America Patent

PATENT NO 9134707
APP PUB NO 20130262353A1
SERIAL NO

13715116

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Abstract

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Various embodiments are disclosed for optimal online adaptive control. One such method includes a cost function determination by a critic network coupled to the system under control. The cost function is one produces a minimum value for a cost of the system under control when applied by an action network. The method also includes a control input determination by an action network. The control input determination uses the cost function to determine a control input to apply to the system under control. The control input is one that produces the minimum value for the cost of the system under control. The method also includes simultaneously tuning respective parameters of the critic network and the action network by applying respective tuning laws that do not involve the system dynamics function f(x) for the system under test.

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Patent Owner(s)

  • BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Lewis, Frank Arlington, US 11 121
Vamvoudakis, Kyriakos Goleta, US 1 7
Vrabie, Draguna L Broad Brook, US 3 12

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