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AUTOMATICA
2007
80views more  AUTOMATICA 2007»
13 years 10 months ago
Fast, large-scale model predictive control by partial enumeration
Partial enumeration (PE) is presented as a method for treating large, linear model predictive control applications that are out of reach with available MPC methods. PE uses both a...
Gabriele Pannocchia, James B. Rawlings, Stephen J....
NAACL
2010
13 years 8 months ago
Unsupervised Model Adaptation using Information-Theoretic Criterion
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
Ariya Rastrow, Frederick Jelinek, Abhinav Sethy, B...
ICRA
2007
IEEE
136views Robotics» more  ICRA 2007»
14 years 4 months ago
Bilateral Delayed Teleoperation: The Effects of a Passivated Channel Model and Force Sensing
— In this paper, based on a passivity framework, admittance-type and hybrid-type delay-compensated communication channel models are introduced, which warrant different bilateral ...
Arash Aziminejad, Mahdi Tavakoli, Rajnikant V. Pat...
ICTAI
2005
IEEE
14 years 3 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
BIBM
2009
IEEE
183views Bioinformatics» more  BIBM 2009»
14 years 3 months ago
Modeling Protein Interaction Networks with Answer Set Programming
—In this paper we propose the use of answer set programming (ASP) to model protein interaction networks. We argue that this declarative formalism rivals the popular boolean netwo...
Timur Fayruzov, Martine De Cock, Chris Cornelis, D...