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» Input design using Markov chains for system identification
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CDC
2010
IEEE
122views Control Systems» more  CDC 2010»
12 years 11 months ago
On optimal input design in system identification for control
Abstract-- This paper considers a recently proposed framework for experiment design in system identification for control. We will consider model based control design methods, such ...
Bo Wahlberg, Håkan Hjalmarsson, Mariette Ann...
AUTOMATICA
2006
104views more  AUTOMATICA 2006»
13 years 4 months ago
Identification of multi-input systems: variance analysis and input design issues
This paper examines the identification of multi-input systems. Motivated by an experiment design problem (should one excite the various inputs simultaneously or separately), we ex...
Michel Gevers, Ljubisa Miskovic, Dominique Bonvin,...
AUSAI
2003
Springer
13 years 8 months ago
Token Identification Using HMM and PPM Models
Hidden markov models (HMMs) and prediction by partial matching models (PPM) have been successfully used in language processing tasks including learning-based token identification. ...
Yingying Wen, Ian H. Witten, Dianhui Wang
BMCBI
2010
94views more  BMCBI 2010»
13 years 4 months ago
A high-throughput pipeline for the design of real-time PCR signatures
Background: Pathogen diagnostic assays based on polymerase chain reaction (PCR) technology provide high sensitivity and specificity. However, the design of these diagnostic assays...
Ravi Vijaya Satya, Kamal Kumar, Nela Zavaljevski, ...
ECRTS
2005
IEEE
13 years 10 months ago
Scheduling Tasks with Markov-Chain Based Constraints
Markov-Chain (MC) based constraints have been shown to be an effective QoS measure for a class of real-time systems, particularly those arising from control applications. Scheduli...
Donglin Liu, Xiaobo Sharon Hu, Michael D. Lemmon, ...