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AUTOMATICA
2007
113views more  AUTOMATICA 2007»
13 years 6 months ago
Correlation-based tuning of decoupling multivariable controllers
The iterative method labelled Correlation-based Tuning (CbT) is considered in this paper for tuning linear time-invariant multivariable controllers. The approach allows one to tun...
Ljubisa Miskovic, Alireza Karimi, Dominique Bonvin...
MIA
2010
170views more  MIA 2010»
13 years 1 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
TNN
1998
100views more  TNN 1998»
13 years 6 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
CDC
2008
IEEE
141views Control Systems» more  CDC 2008»
14 years 1 months ago
Stabilizing uncertain systems with dynamic quantization
—We consider state feedback stabilization of uncertain linear systems with quantization. The plant uncertainty is dealt with by the supervisory control framework, which employs s...
Linh Vu, Daniel Liberzon
AI
2006
Springer
13 years 6 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth