A minimum relative entropy principle for adaptive control in linear quadratic regulators

ICINCO 2010 - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics

Volumn 3, Issue , 2010, Pages 103-108

  Braun, Daniel A ^a   Ortega, Pedro A ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Adaptive control; Bayesian control rule; Linear quadratic regulator; Minimum relative entropy principle

Indexed keywords

ADAPTIVE CONTROL; ADAPTIVE CONTROLLERS; BAYESIAN; BAYESIAN CONTROL; BAYESIAN INFERENCE; BELLMAN'S EQUATIONS; CONTROL PROCESS; INFORMATION STATE; INPUT OUTPUT MODEL; LINEAR QUADRATIC REGULATOR; MINIMUM RELATIVE ENTROPY; PARAMETER VALUES; POINT ESTIMATE; POSTERIOR DISTRIBUTIONS; SAMPLING PROBLEMS; STOCHASTIC CONTROL;

ADAPTIVE CONTROL SYSTEMS; BAYESIAN NETWORKS; CONTROL THEORY; ENTROPY; EQUATIONS OF STATE; INFERENCE ENGINES; INFORMATION SCIENCE; PROBABILITY DISTRIBUTIONS; ROBOTICS; STOCHASTIC MODELS;

CONTROLLERS;

EID: 77957885547     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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